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Hoboken: Wiley, 2016. — 600 p. Provides a step-by-step approach to statistical procedures to analyze data and conduct research, with detailed sections in each chapter explaining SPSS and Excel applications This book identifies connections between statistical applications and research design using cases, examples, and discussion of specific topics from the social and health...
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John Wiley & Sons, 2017. — 571 p. in color. — ISBN 9781119121046, 1119121043. Provides a step-by-step approach to statistical procedures to analyze data and conduct research, with detailed sections in each chapter explaining SPSS and Excel applications. This book identifies connections between statistical applications and research design using cases, examples, and discussion of...
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John Wiley & Sons, 2011. — 552 p. — ISBN: 0470889454. Utilizing the latest software, this book presents the essential statistical procedures for drawing valuable results from data in the social sciences. Mobilizing interesting real-world examples from the field of education, Understanding Educational Statistics Using Microsoft Excel and SPSS supplies a seamless presentation...
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New York: Springer, 2016. - 313 p. Integrates theoretical and methodological advances from recognized leaders in the field, including the conference's invited speakers Important applications in domains such as genomics, brain imaging, sensory analysis, marketing, psychometrics and information systems Covers PLS regression, PLS path modeling and developments that go beyond...
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Hoboken: CRC Press, 2013. — 557 p. Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantitative methodology, including how to implement data analysis methods using open-source software. Given the importance of interdisciplinary work in...
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Reprint edition (originally published 1959). — New York: John Wiley and Sons; London: Chapman and Hall, 1984. — 275 p. The straight line occupies a central position in the presentation and interpretation of experimental results. Frequently experimenters devote considerable time and ingenuity to the dcvelopment of reasonable (and sometimes unreasonable) procedures for...
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Springer, 2016. — 301 p. — ISBN 9811023409, 9789811023408. This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author believes that the...
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Amazon Digital Services LLC., 2017. — 126 p. — ASIN B06XD8HJGQ. This compilation contains exercises and their detailed step-by-step solutions on the calculation of curve arc lengths defined by Cartesian equations y=f(x)..It is intended for students who are taking an Integral Calculus course for the first time. Calculate the length of an arc of a curve y=f(x) requires the...
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5th Edition. — Hoboken: CRC Press, 2011. — 508 p. — (Texts in Statistical Science Series). — ISBN 978-1-4665-0324-3. This new version of the bestselling Computer-Aided Multivariate Analysis has been appropriately renamed to better characterize the nature of the book. Taking into account novel multivariate analyses as well as new options for many standard methods, Practical...
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3rd ed. — Springer-Science+Business Media, B.V., 1996. — 456 p. — ISBN: 041273060X, 9780412730603. See also /file/1724793/ Increasingly, researchers need to perform multivariate statistical analyses on their data. Unfortunately, a lack of mathematical training prevents many from taking advantage of these advanced techniques, in part, because books focus on the theory and neglect...
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Heidelberg: Springer, 2004. — 149 p. Due to the continuing progress of sensor technology, the availability of 3-D cameras is already foreseeable. These cameras are capable of generating a large set of measurement points within a very short time. There is a variety of 3-D camera applications in the fields of robotics, rapid product development and digital factories. In order to...
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Chapman and Hall/CRC, 2014. — 618 p. — ISBN: 1466504080, 9781466504080. In response to scientific needs for more diverse and structured explanations of statistical data, researchers have discovered how to model individual data points as belonging to multiple groups. Handbook of Mixed Membership Models and Their Applications shows you how to use these flexible modeling tools...
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Springer, 2011. — 170 p. — (Statistics for Social and Behavioral Sciences). — ISBN 978-1-4419-9937-5. The purpose of this book is to evaluate a new approach to the analysis and reporting of the large-scale surveys for the National Assessment of Educational Progress carried out for the National Center for Education Statistics. The need for a new approach was driven by the demands...
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New York: Springer, 1999. — 387 p. Due to the introduction of the information criterion AIC and development of prac­ tical use of Bayesian modeling, the method of time analysis is now showing remarkable progress. In attempting the study of a new field the actual phenomenon is rarely so simple as to allow direct applications of existing methods of analysis or models. The real...
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Academic Press, 2019. — 217 p. — ISBN 978-0-12-814262-2. This book presents the application of statistical techniques to assist students and researchers who work in food science and food engineering in choosing the appropriate statistical technique. The book focuses on the use of univariate and multivariate statistical methods in the field of food science. The techniques are...
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Rehoboth: American Research Press, 2002. - 63p. The purpose of this book is to postulate some theories and test them numerically. Estimation is often a difficult task and it has wide application in social sciences and financial market. In order to obtain the optimum efficienty for some classes of estimators, the authors devoted this book into three specialized sections: Part...
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Sage Publications, 2001. — 104 p. — (Quantitative Applications in the Social Sciences). — ISBN 0761916725, 9780761916727. Using numerous examples and practical tips, this book offers a nontechnical explanation of the standard methods for missing data (such as listwise or casewise deletion) as well as two newer (and, better) methods, maximum likelihood and multiple imputation....
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Hoboken: John Wiley&sons, 2015. - 412p. Does the subject of data analysis make you dizzy? You've come to the right place! Statistics For Big Data For Dummies breaks this often-overwhelming subject down into easily digestible parts, offering new and aspiring data analysts the foundation they need to be successful in the field. Inside, you'll find an easy-to-follow introduction...
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Springer, 1996. — 713 p. — ISBN: 146128466X. A non-calculus based introduction for students studying statistics, business, engineering, health sciences, social sciences, and education. It presents a thorough coverage of statistical techniques and includes numerous examples largely drawn from actual research studies. Little mathematical background is required and explanations of...
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Boca Raton: CRC Press, 2016. — 314 p. — ISBN 978-1-4665-0555-1. Describes a flexible, reliable, and powerful permutation and combination approach for solving multivariate ranking problems Integrates methods of ranking and selection from the perspective of this new nonparametric approach Emphasizes applications and problem solving Ranking of Multivariate Populations: A Permutation...
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Springer, 2006. — 382 p. — ISBN: 0387261273, 9780387261270 This book contains 116 exercises of sampling methods solved in detail. The exercises are grouped into chapters and are preceded by a brief theoretical review specifying the notation and the principal results that are useful for understanding the solutions. Some exercises develop the theoretical aspects of surveys, while...
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New York: Pearson, 2014. — 491 p. Contents : Displaying the Order in a Group of Numbers Using Tables and Graphs The Mean, Variance, Standard Deviation, and Z Scores Correlation and Prediction Some Key Ingredients for Inferential Statistics: The Normal Curve, Sample Versus Population, and Probability Introduction to Hypothesis Testing Hypothesis Tests with Means of Samples Making...
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New York: Springer, 2018. — 471 p. — ISBN 978-981-10-8627-4. This book offers a comprehensive guide to essential techniques and methods in biostatistics, addressing the underlying concepts to aid in comprehension. The use of biostatistics techniques has increased manifold in the recent past, due to their suitability for applications in a wide range of problems in various fields....
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Penerbit Universiti Teknologi MARA, 2012. — 238 p. — ISBN 9673634181, 9789673634187. A step by step SEM and CFA guide for the Analysis of Moment Structures (Arbuckle, 2014). Including also interpretation of results and additional equations. Sample size estimation is also included.
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Springer Science+Business Media, LLC, 1997. — 470 p. Modern astronomical research faces a vast range of statistical issues which have spawned a revival in methodological activity among astronomers. The Statistical Challenges in Modern Astronomy II conference, held in June 1996 at the Pennsylvania State University five years after the first conference, brought astronomers and...
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Heidelberg: Cambridge University Press, 2017. — 322 p. Science is fundamentally about learning from data, and doing so in the presence of uncertainty. This volume is an introduction to the major concepts of probability and statistics, and the computational tools for analysing and interpreting data. It describes the Bayesian approach, and explains how this can be used to fit and...
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Boston: Birkhauser, 2000. — 254 p. This new book offers a thorough guide to the theory and methods of progressive censoring for practitioners and professionals in applied statistics, quality control, life testing and reliability testing. In many industrial experiments involving lifetimes of machines or units, experiments have to be terminated early due to a variety of...
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Hoboken: Wiley, 2001. — 484 p. Expert practical and theoretical coverage of runs and scansThis volume presents both theoretical and applied aspects of runs and scans, and illustrates their important role in reliability analysis through various applications from science and engineering. Runs and Scans with Applications presents new and exciting content in a systematic and cohesive...
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Berlin: Springer, 2010. — 174 p. Seasonal patterns have been found in a remarkable range of health conditions, including birth defects, respiratory infections and cardiovascular disease. Accurately estimating the size and timing of seasonal peaks in disease incidence is an aid to understanding the causes and possibly to developing interventions. With global warming increasing the...
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Third Edition. — John Wiley and Sons, 1999. — 411 p. This fully updated and revised third edition, presents a wide ranging, balanced account of the fundamental issues across the full spectrum of inference and decision-making. Much has happened in this field since the second edition was published: for example, Bayesian inferential procedures have not only gained acceptance but...
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Hoboken: Wiley, 2015. — 257 p. Introduction to Statistical Analysis of Laboratory Data presents a detailed discussion of important statistical concepts and methods of data presentation and analysis Provides detailed discussions on statistical applications including a comprehensive package of statistical tools that are specific to the laboratory experiment process Introduces...
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Dover Publications, 2005. — 722 p. In recent decades matrix algebra and statistics and probability have become two of the most important areas of theoretical and applied mathematics, in terms of university curricula as well as actual research in the social, geographical, human, and life sciences. With a growing awareness of the usefulness of matrices in the statistical sciences...
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Peterborough: Broadview Press, 2009. — 242 p. We are inundated by scientific and statistical information, but what should we believe? How much should we trust the polls on the latest electoral campaign? When a physician tells us that a diagnosis of cancer is 90% certain or a scientist informs us that recent studies support global warming, what should we conclude? How can we...
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Cambridge: Cambridge University Press, 2002. — 363 p. Power analysis is an essential tool for determining whether a statistically significant result can be expected in a scientific experiment prior to the experiment being performed. Many funding agencies and Institutional Review Boards now require power analyses to be carried out before they will approve experiments,...
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NY: John Wiley & Sons Ltd., 2014. — 592 p. — (Wiley Series in Probality and Statistics). — ISBN 978-1-119-95324-1. A comprehensive overview of the internationalisation of correspondence analysis Correspondence Analysis: Theory, Practice and New Strategies examines the key issues of correspondence analysis, and discusses the new advances that have been made over the last 20 years....
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Wiley, 2010. — 640 p. — 4th ed. — ISBN: 0470248777, 9780470248775 A timely update of the classic book on the theory and application of random data analysis First published in 1971, Random Data served as an authoritative book on the analysis of experimental physical data for engineering and scientific applications. This Fourth Edition features coverage of new developments in...
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New York: Pearson, 2014. — 401 p. Preface Supplements To the Student: How to Succeed in Your Statistics Course Applications Index Speaking of Statistics What Is/Are Statistics? Sampling Types of Statistical Studies Should You Believe a Statistical Study? Focus on Psychology: Are You Driving "Drunk" on Your Cell Phone? Focus on Public Health: Is Your Lifestyle Healthy? Measurement...
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Amazon Services International Inc., 2016. — 166 p. — ASIN: B01LDUK032 This is a how-to guide on the approximation of data. There are many books and articles on curve-fitting. This is intended as a supplement to, not a replacement for, such texts. Most references are either esoteric or simplistic. I hope to strike a balance between these two extremes and trust you will find this...
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New York: Springer, 1997. - 284 p. This volume gathers refereed papers presented at the 1994 UCLA conference on "La­ tent Variable Modeling and Application to Causality. " The meeting was organized by the UCLA Interdivisional Program in Statistics with the purpose of bringing together a group of people who have done recent advanced work in this field. The papers in this volume are...
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Springer, 2019. - 487 p. - ISBN: 3030209326. The primary purpose of this textbook is to introduce the reader to a wide variety of elementary permutation statistical methods . Permutation methods are optimal for small data sets and non-random samples, and are free of distributional assumptions. The book follows the conventional structure of most introductory books on statistical...
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Second Edition. — Lewis Publishers, 2002. — 464 pages. Two critical questions arise when one is confronted with a new problem that involves the collection and analysis of data. How will the use of statistics help solve this problem? Which techniques should be used? Statistics for Environmental Engineers, Second Edition helps environmental science and engineering students answer...
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McGraw-Hill, 2003. — 320 p. The purpose of this book is to provide an introduction to the concepts of statistical analysis of data for students at the undergraduate and graduate level, and to provide tools for data reduction and error analysis commonly required in the physical sciences. The presentation is developed from a practical point of view, including enough derivation to...
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The Guilford Press. 2007. — 355 p. — ISBN 159385191X. This book provides a uniquely accessible introduction to multilevel modeling, a powerful tool for analyzing relationships between an individual-level dependent variable, such as student reading achievement, and individual-level and contextual explanatory factors, such as gender and neighborhood quality. Helping readers build...
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Amsterdam: Amsterdam University, 2018. — 384 p. The field of statistics focuses on drawing conclusions from data by modeling and analyzing the data using probabilistic models. The authors of this introductory text describe three key concepts from statistics—estimators, tests, and confidence regions—which they demonstrate and apply in an extensive variety of examples and case...
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London: SAGE Publications, 2004. — 229 p. Analysis of variance (ANOVA) constitutes the main set of statistical methods used by students and researchers to analyse data from experiments. This expertly written textbook adopts a pioneering approach to ANOVA with an emphasis on confidence intervals rather than tests of significance. Key features of the book include: · Extensive...
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Springer Science+Business Media, LLC, 2007. — 568 p. — ISBN: 0387728058. The book deals with discrete multivariate analysis in an effort to bring together in an organised way the extensive theory and practice existing in this field. It is organised in 14 chapters. … is well addressed to readers from different background and different interests covering a wide range from...
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De Gruyter Oldenbourg, 2019. — 194 p. — ISBN 978-3-11-061729-0. Stata is one of the most popular statistical software in the world and suited for all kinds of users, from absolute beginners to experienced veterans. This book offers a clear and concise introduction to the usage and the workflow of Stata. Included topics are importing and managing datasets, cleaning and preparing...
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Philadelphia: SIAM, 1996. — 427 p. The method of least squares was discovered by Gauss in 1795. It has since become the principal tool for reducing the influence of errors when fitting models to given observations. Today, applications of least squares arise in a great number of scientific areas, such as statistics, geodetics, signal processing, and control. In the last 20 years...
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Chicheste: John Wiley & Sons, Ltd., 2009. — 236 p. — ISBN: 0470746645, 9780470746646 This is a practical book on how to apply statistical methods successfully. The Authors have deliberately kept formulae to a minimum to enable the reader to concentrate on how to use the methods and to understand what the methods are for. Each method is introduced and used in a real situation from...
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Chapman and Hall/CRC, 2008. – 208 p. – ISBN: 1584886307, 9781584886303 Providing reliable information on an intervention effect, meta-analysis is a powerful statistical tool for analyzing and combining results from individual studies. Meta-Analysis of Binary Data Using Profile Likelihood focuses on the analysis and modeling of a meta-analysis with individually pooled data...
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New York: Chapman and Hall/CRC Press, 2017. — 430 p. — (Interdisciplinary Statistics Series). — ISBN 978-1-4987-4531-4. Capture-recapture methods have been used in biology and ecology for more than 100 years. However, it is only recently that these methods have become popular in the social and medical sciences to estimate the size of elusive populations such as illegal immigrants,...
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CRC Press; Taylor & Francis Group, 2007. — 362 p. — (Interdisciplinary Statistics Series). — ISBN-13 978-1-58488-696-9. Statistical and Probabilistic Methods in Actuarial Science covers many of the diverse methods in applied probability and statistics for students aspiring to careers in insurance, actuarial science, and finance. The book builds on students' existing knowledge of...
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N.-Y.: Wiley, 2006. — 300 p. An effective technique for data analysis in the social sciences The recent explosion in longitudinal data in the social sciences highlights the need for this timely publication. Latent Curve Models: A Structural Equation Perspective provides an effective technique to analyze latent curve models (LCMs). This type of data features random intercepts...
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Springer, 2013. — 303 p. — ISBN: 1461479835, 9781461479833 Statistics and Analysis of Scientific Data covers the foundations of probability theory and statistics, and a number of numerical and analytical methods that are essential for the present-day analyst of scientific data. Topics covered include probability theory, distribution functions of statistics, fits to...
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Springer, 2013. — 303 p. — ISBN: 1461479835, 9781461479833 Statistics and Analysis of Scientific Data covers the foundations of probability theory and statistics, and a number of numerical and analytical methods that are essential for the present-day analyst of scientific data. Topics covered include probability theory, distribution functions of statistics, fits to two-dimensional...
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2nd ed. — Springer, 2017. — 323 p. — (Graduate Texts in Physics). — ISBN 9781493965700; EISBN 9781493965724 The revised second edition of this textbook provides the reader with a solid foundation in probability theory and statistics as applied to the physical sciences, engineering and related fields. It covers a broad range of numerical and analytical methods that are essential...
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2013. The procedure for finding useful patterns in data is known by different names in different communities but more and more, it is grouped under the label of machine learning. This handbook aims to present the statistical foundations of machine learning intended as the discipline which deals with the automatic design of models from data. This manuscript aims to find a good...
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Boston: The MIT Press, 2015. - 224p. Maps of physical spaces locate us in the world and help us navigate unfamiliar routes. Maps of topical spaces help us visualize the extent and structure of our collective knowledge; they reveal bursts of activity, pathways of ideas, and borders that beg to be crossed. This book, from the author of Atlas of Science, describes the power of...
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Oxford Scholarship Online, 2012. — 220 p. — ISBN: 9780195367621 Structural Equation Modeling (SEM) has long been used in social work research, but the writing on the topic is typically fragmented and highly technical. This pocket guide fills a major gap in the literature by providing social work researchers and doctoral students with an accessible synthesis. The authors...
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2da. Edición — Barcelona: Editorial Reverté, 2007. — 662 p. Los objetivos de esta nueva edición de Estadística para Investigadores son los mismos que los que hicieron famosa la primera edición: poner a disposición de los investigadores y experimentadores herramientas estadísticas y científicas que puedan, en gran medida, catalizar la innovación, la resolución de problemas y...
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Статистика для экспериментаторов: дизайн, инновации и открытия. 2nd Edition. — Wiley-Interscience, 2005. — 633 pages. A Classic adapted to modern times. Rewritten and updated, this new edition of Statistics for Experimenters adopts the same approaches as the landmark First Edition by teaching with examples, readily understood graphics, and the appropriate use of computers....
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Springer, 1987. — 202 p. This book was written to myself at about the time I began graduate studies in anthropology-the sort of thing a Samuel Beckett character might do. It is about the conduct of research. In a very real sense the purpose is partially to compensate for the inadequacies of my professors. Perhaps this is what education is about. The effort has not been an...
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Philadelphia: SAGE Publications, 1996. — 88 p. What techniques can social scientists use when an outcome variable for a sample is not representative of the population for whom they would like to generalize the results? This book provides an introduction to regression models for such data including censored, sample-selected and truncated data.
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New York: Springer, 2016. - 115p. Explores specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand using probability models and nonparametric testsUses the Expectation Maximization (EM) algorithm to give essential results for a likelihood-based approach to statistical inference in shape analysisCovers the theory of...
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New York: Springer, 2018. — 539 p. This book demonstrates the importance of computer-generated statistical analyses in behavioral science research, particularly those using the R software environment. Statistical methods are being increasingly developed and refined by computer scientists, with expertise in writing efficient and elegant computer code. Unfortunately, many...
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Springer, 2014. — 558 p. — ISBN: 3319117335, 9783319117331 This textbook is an approachable introduction to statistical analysis using matrix algebra. Prior knowledge of matrix algebra is not necessary. Advanced topics are easy to follow through analyses that were performed on an open-source spreadsheet using a few built-in functions. These topics include ordinary linear...
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Hoboken: Wiley, 2014. — 309 p. Concise, thoroughly class-tested primer that features basic statistical concepts in the concepts in the context of analytics, resampling, and the bootstrap. A uniquely developed presentation of key statistical topics, Introductory Statistics and Analytics: A Resampling Perspective provides an accessible approach to statistical analytics, resampling,...
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Philadelphia: SIAM. 2005. - 220p. This book provides a protocol for conducting gauge repeatability and reproducibility (R&R) experiments, which are required whenever a new test system is developed to monitor a manufacturing process. This protocol—not currently available in other books or technical reports—is used to determine whether the testing system is capable of monitoring...
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Без указания места издания: Brian Caffo, 2015. - 112p. The ideal reader for this book will be quantitatively literate and has a basic understanding of statistical concepts and R programming. The book gives a rigorous treatment of the elementary concepts in statistical inference from a classical frequentist perspective. After reading this book and performing the exercises, the...
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Springer, 2014. — 801 p. — (Springer Texts in Statistics). — ISBN: 9781493903948, 9781493903955 This book provides a contemporary and lively postcalculus introduction to the subject of probability. The exposition reflects a desirable balance between fundamental theory and many applications involving a broad range of real problem scenarios. It is intended to appeal to a wide...
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CRC, 2017. — 320 p. — ISBN 978-1-4987-3714-2 Cascarino Richard E. Data Analytics for Internal Auditors There are many webinars and training courses on Data Analytics for Internal Auditors, but no handbook written from the practitioner's viewpoint covering not only the need and the theory, but a practical hands-on approach to conducting Data Analytics. The spread of IT systems...
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New York: CRC Press, 2016. — 523 p. — ISBN 978-1-4987-2746-4. Addressing more than 30 statistical myths, this book explains how to understand statistics rather than how to do statistics. In the book, six characters have 30 discussions on various topics taught in a fictional course intended to teach students how to apply statistics to improve processes. Readers follow along and...
  • №72
  • 56,07 МБ
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Oxford: Oxford University Press, 2012. — 265 p. — (Oxford Statistical Science Series). — ISBN 978–0–19–856662–5. This text brings together important ideas on the model-based approach to sample survey, which has been developed over the last twenty years. Suitable for graduate students and professional statisticians, it moves from basic ideas fundamental to sampling to more rigorous...
  • №73
  • 1,34 МБ
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John Wiley & Sons, 2003. — 398 p. — ISBN: 0471899879. This book is concerned with statistical methods for the analysis of data collected from a survey. A survey could consist of data collected from a questionnaire or from measurements, such as those taken as part of a quality control process. Concerned with the statistical methods for the analysis of sample survey data, this...
  • №74
  • 2,28 МБ
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Boca Raton: Chapman & Hall/CRC, 2005. — 644 p. Contents: Preface Acknowledgments Introduction Review of Mathematics Probability Theory Random Variables Discrete Distributions Continuous Random Variables Distributions of Order Statistics Asymptotic Distribution Theory Point Estimation Hypothesis Testing Interval Estimation Introduction to Computational Methods Index
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  • 6,41 МБ
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New York: Springer, 1988. — 274 p. There are numerous books on statistical theory and on specific statistical techniques, but few, if any, on problem solving. This book is written for anyone who has studied a range ofbasic statistical topics but still feels unsure about tackling real-life problems. How can reliable data be collected to answer a specific question ? What is to be...
  • №76
  • 6,30 МБ
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Boca Raton: Routledge, 2018. — 285 p. One of the most popular introductory texts in its field, Statistics for Technology: A Course in Applied Studies presents the range of statistical methods commonly used in science, social science, and engineering. The mathematics are simple and straightforward; statistical concepts are explained carefully; and real-life (rather than contrived)...
  • №77
  • 17,65 МБ
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Singapore: Springer, 2018. — 178 p. This book discusses recent developments and the latest research in statistics and its applications, primarily in agriculture and industry, survey sampling and biostatistics, gathering articles on a wide variety of topics. Written by leading academics, scientists, researchers and scholars from around the globe to mark the platinum jubilee of the...
  • №78
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N.-Y.: CRC Press, 2014. — 280 p. Exposure to Sampling Abstract Introduction Concepts of Population, Sample, and Sampling Initial Ramifications Abstract Introduction Sampling Design, Sampling Scheme Random Numbers and Their Uses in Simple RandomSampling (SRS) Drawing Simple Random Samples with and withoutReplacement Estimation of Mean, Total, Ratio of Totals/Means:Variance and...
  • №79
  • 2,27 МБ
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Second Edition. — Chapman&Hall/CRC, 2005. — 275 p. — ISBN 978-0-8247-5754-0. Since publication of the first edition in 1992, the field of survey sampling has grown considerably. This new edition of Survey Sampling: Theory and Methods has been updated to include the latest research and the newest methods. The authors have undertaken the daunting task of surveying the sampling...
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  • 2,38 МБ
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2nd edition. — Chapman&Hall/CRC, 2005. — 386 p. Since publication of the first edition in 1992, the field of survey sampling has grown considerably. This new edition of Survey Sampling: Theory and Methods has been updated to include the latest research and the newest methods. The authors have undertaken the daunting task of surveying the sampling literature of the past decade to...
  • №81
  • 3,60 МБ
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New York: Springer, 2006. — 326 p. — 2nd ed. — ISBN: 184628340X, 9781846283406 Information visualization is not only about creating graphical displays of complex and latent information structures. It also contributes to a broader range of cognitive, social, and collaborative activities. This is the first book to examine information visualization from this perspective. This 2nd...
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  • 4,17 МБ
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New York: Springer, 2017. — 355 p. This book is comprised of the presentations delivered at the 25th ICSA Applied Statistics Symposium held at the Hyatt Regency Atlanta, on June 12-15, 2016. This symposium attracted more than 700 statisticians and data scientists working in academia, government, and industry from all over the world. The theme of this conference was the “Challenge...
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  • 7,00 МБ
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2nd edition. — Springer Science+Business Media, 2012. — 286 pages. — ISBN: 0817648003. A revised and expanded second edition is an in-depth study of the change point problem from a general point of view, as well as a further examination of change point analysis of the most commonly used statistical models. Change point problems are encountered in such disciplines as...
  • №84
  • 3,44 МБ
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2nd Edition. — Wiley, 2007. — 400 p. — ISBN: 978-0-471-75621-7. Over the past decade, the application of bootstrap methods to new areas of study has expanded, resulting in theoretical and applied advances across various fields. Bootstrap Methods, Second Edition is a highly approachable guide to the multidisciplinary, real-world uses of bootstrapping and is ideal for readers...
  • №85
  • 4,38 МБ
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New York: ISTE, 2017. — 153 p. ContentS: ML Estimators for right censored data. Asymptotic properties of ML estimators Chi-squared goodness-of fit tests for a right-censored sample Regularity Hjort s conditions Chi-squared tests for specified families: exponential, shape-scale, Weibull, logistic, lognormal, Gompertz families of distributions. Chi-squared test for the family of...
  • №86
  • 1,70 МБ
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New York: Springer, 2015. — 268 p. This volume presents an eclectic mix of original research articles in areas covering the analysis of ordered data, stochastic modeling and biostatistics. These areas were featured in a conference held at the University of Texas at Dallas from March 7 to 9, 2014 in honor of Professor H. N. Nagaraja’s 60th birthday and his distinguished...
  • №87
  • 8,21 МБ
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3rd edition. — Boca Raton: Chapman & Hall Crc Press, 2009. — 733 p. — (Biostatistics Series). Taking into account the regulatory and scientific developments that have occurred since the second edition, Design and Analysis of Bioavailability and Bioequivalence Studies, Third Edition provides a complete presentation of the latest progress of activities and results in...
  • №88
  • 4,66 МБ
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3rd Edition. — Wiley, 1977. — 442 p. — ISBN: 0-471-16240-X Clearly demonstrates a wide range of sampling methods now in use by governments, in business, market and operations research, social science, medicine, public health, agriculture, and accounting. Gives proofs of all the theoretical results used in modern sampling practice. New topics in this edition include the...
  • №89
  • 4,31 МБ
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Wiley, 2011. — 462 p. — ISBN 9780470574799 Fundamentals of Statistical Reasoning in Education 3e, like the first two editions, is written largely with students of education in mind. Accordingly, we draw primarily on examples and issues found in school settings, such as those having to do with instruction, learning, motivation, and assessment. Our emphasis on educational...
  • №90
  • 6,32 МБ
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4th Ed. — Wiley, 2014. — 450 p. — ISBN: 9781118425213 Fundamentals of Statistical Reasoning in Education, 4th Edition is a text specifically geared towards the education community. This text gives educators the statistical knowledge and skills necessary in everyday classroom teaching, in running schools, and in professional development pursuits. It emphasises conceptual...
  • №91
  • 12,56 МБ
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New York: Wiley, 2008. - 450p. This book covers all the latest advances, as well as more established methods, in the application of statistical and optimisation methods within modern industry. These include applications from a range of industries that include micro-electronics, chemical, automotive, engineering, food, component assembly, household goods and plastics. Methods...
  • №92
  • 3,46 МБ
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Cambridge University Press, 1966. — 211 p. — ISBN 9780521046954, 0521046955. The book provides an introduction to the theory of cluster sets, a branch of topological analysis which has made great strides in recent years. The cluster set of a function at a particular point is the set of limit values of the function at that point which may be either a boundary point or (in the case...
  • №93
  • 976,79 КБ
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NY: John Wiley & Sons, Inc, 2009. — 330 p. — (Wiley Series in Probability and Statistics). — ISBN 978-0-470-22839-5. A modern, comprehensive treatment of latent class and latent transition analysis for categorical dataOn a daily basis, researchers in the social, behavioral, and health sciences collect information and fit statistical models to the gathered empirical data with the...
  • №94
  • 4,92 МБ
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N.-Y.: Wiley-ISTE, 2014. - 144p. This title is written for the numerate nonspecialist, and hopes to serve three purposes. First it gathers mathematical material from diverse but related fields of order statistics, records, extreme value theory, majorization, regular variation and subexponentiality. All of these are relevant for understanding fat tails, but they are not, to our...
  • №95
  • 1,31 МБ
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2nd Edition. — Tilde University Press, 2014. — 604 p. — ISBN 978-0-7346-2070-5. Learning about statistics is a stressful activity for many people. This text is designed to painlessly acquaint students, beginning researchers and statistical novices with a wide range of analytical possibilities. Through straightforward descriptions and concrete illustrations, the text explores...
  • №96
  • 14,50 МБ
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Second Edition. — N.-Y.: Wiley, 2014. — 288 p. — ISBN: 978-1118840313. …a very useful resource for courses in nonparametric statistics in which the emphasis is on applications rather than on theory. It also deserves a place in libraries of all institutions where introductory statistics courses are taught." – CHOICE This Second Edition presents a practical and understandable...
  • №97
  • 2,20 МБ
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Wiley, 2009. — 264 p. — ISBN10 047045461X. A practical and understandable approach to nonparametric statistics for researchers across diverse areas of study As the importance of nonparametric methods in modern statistics continues to grow, these techniques are being increasingly applied to experimental designs across various fields of study. However, researchers are not always...
  • №98
  • 7,05 МБ
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Oxford: Oxford University Press, 1998. - 105p. This book is a guide to the practical application of statistics to data analysis in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclusions from experimental data. Although most of the examples are taken from particle physics, the material is presented in a...
  • №99
  • 1,90 МБ
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Chapman & Hall / CRC, 1981. — 189 p. This book should be of interest to senior undergraduate and postgraduate students of applied statistics. The analyses of the examples are sufficiently detailed to provide good illustrations of both general principles and important specific techniques of analysis, yet are presented in such a way that the informed reader will want to try...
  • №100
  • 3,67 МБ
  • дата добавления неизвестна
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Cambridge University Press, 2006. — 219 p. Subjects: Statistics and probability, Statistical theory and methods, Epidemiology, public health and medical statistics In this definitive book, D. R. Cox gives a comprehensive and balanced appraisal of statistical inference. He develops the key concepts, describing and comparing the main ideas and controversies over foundational...
  • №101
  • 2,41 МБ
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Cambridge University Press, 2011. — 202 p. Applied statistics is more than data analysis, but it is easy to lose sight of the big picture. David Cox and Christl Donnelly distil decades of scientific experience into usable principles for the successful application of statistics, showing how good statistical strategy shapes every stage of an investigation. As you advance from...
  • №102
  • 1,08 МБ
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London New York. Chapman and Hall. 1989, 247 pp. The first edition of this book (1970) set out a systematic basis for the analysis of binary data and in particular for the study of how the probability of "success" depends on explanatory variables. The first edition has been widely used and the general level and style have been preserved in the second edition which contains a...
  • №103
  • 1,64 МБ
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Cambridge University Press, 1981. — 196 p. — ISBN: 0412165600, 0412165708, 9780412165603 The analyses of the examples are sufficiently detailed to provide good illustrations of both general principles and important specific techniques of analysis, yet are presented insuch a way that tge informed reader will want to try his own hand at extending the analysis of the data. This...
  • №104
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New York: Apress, 2017. — 329 p. Examine and solve the common misconceptions and fallacies that non-statisticians bring to their interpretation of statistical results. Explore the many pitfalls that non-statisticians—and also statisticians who present statistical reports to non-statisticians—must avoid if statistical results are to be correctly used for evidence-based business...
  • №105
  • 16,35 МБ
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New York: Apress, 2017. — 329 p. Examine and solve the common misconceptions and fallacies that non-statisticians bring to their interpretation of statistical results. Explore the many pitfalls that non-statisticians—and also statisticians who present statistical reports to non-statisticians—must avoid if statistical results are to be correctly used for evidence-based business...
  • №106
  • 4,40 МБ
  • добавлен
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Apress, 2017. — 324 p. — ISBN 978-1-4842-2256-0. Examine and solve the common misconceptions and fallacies that non-statisticians bring to their interpretation of statistical results. Explore the many pitfalls that non-statisticians―and also statisticians who present statistical reports to non-statisticians―must avoid if statistical results are to be correctly used for...
  • №107
  • 8,40 МБ
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Open University Press, 2003. — 250 p. — (Understanding Social Research). — ISBN 0335-20059-1. There are a variety of statistical techniques used to analyse quantitative data that masters students, advanced undergraduates and researchers in the social sciences are expected to be able to understand and undertake. This book explains these techniques, when it is appropriate to use...
  • №108
  • 2,05 МБ
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Cambridge: Cambridge University Press, 2003. — 180 p. — ISBN 978-0-511-07354-0. Logistic models are widely used in economics and other disciplines and are easily available as part of many statistical software packages. This text for graduates, practitioners and researchers in economics, medicine and statistics, which was originally published in 2003, explains the theory underlying...
  • №109
  • 982,99 КБ
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Oxford: Oxford University Press, 2015. — 335 p. — ISBN 978-0-19-871254-1. Reliable data analysis lies at the heart of scientific research, helping you to figure out what your data is really telling you. Yet the analysis of data can be a stumbling block for even the most experienced researcher - and can be a particularly daunting prospect when analyzing your own data for the first...
  • №110
  • 32,12 МБ
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New York: Springer, 2019. — 261 p. This textbook provides a step-by-step introduction to the class of vine copulas, their statistical inference and applications. It focuses on statistical estimation and selection methods for vine copulas in data applications. These flexible copula models can successfully accommodate any form of tail dependence and are vital to many applications in...
  • №111
  • 3,16 МБ
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New York: Marcel Dekker, 1986. — 589 p. Overview Graphical Analysis Tests of Chi-Squared Type Tests Based on EDF Statistics Tests Based on Regression and Correlation Some Transformation Methods in Goodness-of-Fit Moment (Ob1, b2 ) Techniques Tests for the Uniform Distribution Tests for the Normal Distribution Tests for the Exponential Disrtibution Analysis of...
  • №112
  • 29,45 МБ
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Physica, 2008. — 303 p. Introduction to IWFOS'2008. Solving Multicollinearity in Functional Multinomial Logit Models for Nominal and Ordinal Responses. Estimation of Functional Regression Models for Functional Responses by Wavelet Approximation. Functional Linear Regression with Functional Response: Application to Prediction of Electricity Consumption. Asymptotic Normality of...
  • №113
  • 5,96 МБ
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New York: Springer, 2016. — 293 p. This book explores widely used seasonal adjustment methods and recent developments in real time trend-cycle estimation. It discusses in detail the properties and limitations of X12ARIMA, TRAMO-SEATS and STAMP - the main seasonal adjustment methods used by statistical agencies. Several real-world cases illustrate each method and real data...
  • №114
  • 4,53 МБ
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Chapman & Hall/CRC, 2008. — 328 p. — ISBN 1584886099. Drawing from the authors own work and from the most recent developments in the field, Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis describes a comprehensive Bayesian approach for drawing inference from incomplete data in longitudinal studies. To illustrate these methods, the...
  • №115
  • 3,38 МБ
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Chapman & Hall/CRC, 2007. — 324 p. — Monographs on Statistics & Applied Probability (Book 109). — ISBN: 978-1-58488-609-9. The book is intended for statisticians, data analysts and other scientists involved in the collection and analysis of longitudinal data. Our emphasis is on clinical and public health research, but many of the ideas will be applicable to other fields. We assume...
  • №116
  • 4,14 МБ
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Asian Books, 2008. — 244 p. The title "101 Graphical Techniques", itself indicates the very purpose of the book. Data visualization or graphical representation of Statistical data is now an emerging subfield of Statistics. Though various graphical techniques existed in statist!cal literature but some very common graphical techniques are found to replicate themselves in almost...
  • №117
  • 4,29 МБ
  • дата добавления неизвестна
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Springer, 2015. — 299 p. This book describes some recent trends in GCM research on different subject areas, both theoretical and applied. This includes tools and possibilities for further work through new techniques and modification of existing ones. A growth curve is an empirical model of the evolution of a quantity over time. Growth curves in longitudinal studies are used in...
  • №118
  • 7,45 МБ
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Springer, 2017. — 259 p. Indian Statistical Institute, Giridih, India, March 28-29, 2016. Growth curve models in longitudinal studies are widely used to model population size, body height, biomass, fungal growth, and other variables in the biological sciences, but these statistical methods for modeling growth curves and analyzing longitudinal data also extend to general...
  • №119
  • 11,11 МБ
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Springer Nature Singapore Pte Ltd., 2018. — 357 p. — (Signals and Communication Technology) — ISBN 9811075921. This book offers a detailed description of the histogram probabilistic multi-hypothesis tracker (H-PMHT), providing an accessible and intuitive introduction to the mathematical mechanics of H-PMHT as well as a definitive reference source for the existing literature on the...
  • №120
  • 11,32 МБ
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Springer Nature Singapore Pte Ltd., 2018. — 357 p. — (Signals and Communication Technology) — ISBN 9811075921. This book offers a detailed description of the histogram probabilistic multi-hypothesis tracker (H-PMHT), providing an accessible and intuitive introduction to the mathematical mechanics of H-PMHT as well as a definitive reference source for the existing literature on the...
  • №121
  • 9,63 МБ
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Washington, USA: Cato Institute, 2017. — 153 p. — ISBN-10 1944424350. The modern world is brimming with statistical information-information relevant to our personal health and safety, the weather, or the robustness of the national or global economy, to name just a few examples. But don't statistics lie? Well, no-people lie, and sometimes they use statistical language to do it....
  • №122
  • 3,91 МБ
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New York: Springer, 2017. — 618 p. Avoiding a “theorem-proof” format, it shows concrete applications on a variety of empirical time series. The book can be used in graduate courses in nonlinear time series and at the same time also includes interesting material for more advanced readers. Though it is largely self-contained, readers require an understanding of basic linear time...
  • №123
  • 4,93 МБ
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New York: McGraw[Hill, 2014. - 1031 p. Unparalleled in its readability and ease of comprehension, Stats: Data and Models, Second Canadian Edition, focuses on statistical thinking and data analysis. Written in an approachable style without sacrificing rigor, this text incorporates compelling examples derived from the authors’ wealth of teaching experience and encourages students...
  • №124
  • 32,80 МБ
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5th. ed. — Pearson Education, 2017. — 800 p. Inspired by the 2016 GAISE Report revision, Intro Stats, 5th. Edition by De Veaux/Velleman/Bock uses innovative strategies to help students think critically about data – while maintaining the book’s core concepts, coverage, and most importantly, readability. By using technology and simulations to demonstrate variability at critical...
  • №125
  • 50,12 МБ
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3rd ed. — Pearson, 2011. — 857 p. in color. — ISBN: 0321699122, 9780321699121 Intro Stats, Third Edition, continues and extends the successful innovations pioneered in the DeVeaux/Velleman/Bock books, teaching statistics and statistical thinking for today's readers. This book uses a fun, conversational writing style, real data, and short, accessible chapters. The consistent...
  • №126
  • 54,76 МБ
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4th Global edition. — Pearson, 2015. — 996 p. — ISBN 1292101636 Richard De Veaux, Paul Velleman, and David Bock wrote Stats: Data and Models with the goal that students and instructors have as much fun reading it as they did writing it. Maintaining a conversational, humorous, and informal writing style, this new edition engages students from the first page. The authors focus on...
  • №127
  • 115,49 МБ
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3th Edition. Pearson Education, 2011. — 976 pages ISBN: 0321692551 Stats: Data and Models, Third Edition , will intrigue and challenge students by encouraging them to think statistically and by emphasizing how statistics helps us understand the world. Praised by students and instructors alike for its readability and ease of comprehension, this text focuses on statistical...
  • №128
  • 50,72 МБ
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New York: Wiley, 2011. - 456p. A practical, one-stop reference on the theory and applications of statistical data editing and imputation techniques Collected survey data are vulnerable to error. In particular, the data collection stage is a potential source of errors and missing values. As a result, the important role of statistical data editing, and the amount of resources...
  • №129
  • 3,52 МБ
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New York: Springer, 2006. - 346p. The process of discovery in science and technology may require investigation of a large number of features, such as factors, genes or molecules. In Screening, statistically designed experiments and analyses of the resulting data sets are used to identify efficiently the few features that determine key properties of the system under study.
  • №130
  • 2,39 МБ
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Oxford University Press, 2010. — 136 p. — (Understanding Statistics). — ISBN: 9780195377033 This is a title in our Understanding Statistics series, which is designed to provide researchers with authoritative guides to understanding, presenting and critiquing analyses and associated inferences. Each volume in the series demonstrates how the relevant topic should be reported --...
  • №131
  • 2,57 МБ
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John Wiley & Sons, Inc., 2015. — 760 p. — ISBN: 1118632338, 9781118632338 A clear and efficient balance between theory and application of statistical modeling techniques in the social and behavioral sciences. Written as a general and accessible introduction, Applied Univariate, Bivariate, and Multivariate Statistics provides an overview of statistical modeling techniques used in...
  • №132
  • 39,73 МБ
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2nd Edition. — МАТ, 2010. — 155 p. Pre-Statistics How to Convert From a Percentage to a Decimal How to Convert From a Decimal to a Percentage How to Round to X Decimal Places How to Use Order of Operations How to Find the Mean, Mode, and Median How to Find a Factorial How to Detect Fake Statistics The Basics/Descriptive Statistics How to Tell the Difference between Discrete and...
  • №133
  • 2,31 МБ
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3rd ed. — Cengage Learning, 2013. — 656 p. in color. — ISBN 113311136X, 9781133111368. This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. Applied Statistics for Engineers and Scientists emphasizes application of methods to real problems, with real examples throughout. Data and Distributions Populations, Samples, and...
  • №134
  • 30,88 МБ
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New York: Taylor & Francis, 2000. — 554 p. All measurements are subject to error because no quantity can be known exactly; hence, any measurement has a probability of lying within a certain range. The more precise the measurement, the smaller the range of uncertainty. Uncertainty, Calibration and Probability is a comprehensive treatment of the statistics and methods of estimating...
  • №135
  • 19,83 МБ
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3rd edition. — OpenIntro, 2015. — 436 p. The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. Our inaugural effort is OpenIntro Statistics. Probability is optional, inference is key, and we feature real data whenever possible. Files for the entire...
  • №136
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Oxford: Oxford University Press, 2002. - 396p. The new edition of this important text has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving and important area of biostatistics. Two new chapters have been added on fully parametric models for discrete repeated measures data and on statistical models for...
  • №137
  • 1,83 МБ
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Oxford: Oxford University Press, 2011. — 189 p. — ISBN 978–0–19–954318–2. Most introductory statistics text-books are written either in a highly mathematical style for an intended readership of mathematics undergraduate students, or in a recipe-book style for an intended audience of non-mathematically inclined undergraduate or postgraduate students, typically in a single...
  • №138
  • 4,63 МБ
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Cambridge: Cambridge University Press, 2007. — 303 p. Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between statistical theory and practical data analysis by presenting a comprehensive set of tables for all standard models of analysis of variance and covariance with up to three treatment factors. The...
  • №139
  • 2,97 МБ
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Wiley, 2006. – 262 p. – ISBN: 0470023538, 9780470023532 There is more statistical data produced in today’s modern society than ever before. This data is analysed and cross-referenced for innumerable reasons. However, many data sets have no shared element and are harder to combine and therefore obtain any meaningful inference from. Statistical matching allows just that; it is...
  • №140
  • 1,76 МБ
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Cambridge: Cambridge University Press, 2006. — 266 p. — ISBN 978-0-521-85803-8. Samples used in social and commercial surveys, especially of the general population, are usually less random (often by design) than many people using them realise. Unless it is understood, this 'non-randomness' can compromise the conclusions drawn from the data. This book introduces the challenges...
  • №141
  • 1,83 МБ
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2nd ed. — Wiley, 2004. — 634 p. — (Wiley series in probability and statistics). — ISBN: 047126735X, 9780471267355 Praise for the Second Edition "Statistics for Research has other fine qualities besides superior organization. The examples and the statistical methods are laid out with unusual clarity by the simple device of using special formats for each. The book was written with...
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Springer, 2011. — 138 p. — (Lecture Notes in Statistics). — ISBN: 1461403251, 9781461403258 The aim of this book is to give the reader a detailed introduction to the different approaches to generating multiply imputed synthetic datasets. It describes all approaches that have been developed so far, provides a brief history of synthetic datasets, and gives useful hints on how to...
  • №143
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New York: Springer, 2011. — 204 p. Because statistical confidentiality embraces the responsibility for both protecting data and ensuring its beneficial use for statistical purposes, those working with personal and proprietary data can benefit from the principles and practices this book presents. Researchers can understand why an agency holding statistical data does not respond...
  • №144
  • 1,67 МБ
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New York: Springer, 2018. — 117 p. This book provides an introduction to the theory, method, and practice of State-Trace Analysis (STA), and includes a detailed tutorial on the statistical analysis of state-trace designs. The book offers instructions on how to perform state-trace analysis using the authors' own publicly-available software in both Matlab and R. The book begins by...
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  • 1,11 МБ
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CRC Press, 2018. — 589 p. The book provides up-to-date coverage of experimentation methods in science and engineering. This edition adds five new "concept chapters" to introduce major areas of experimentation generally before the topics are treated in detail, to make the text more accessible for undergraduate students. These feature Measurement System Components, Assessing...
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N.-Y.: Springer, 2008. - 170p. Random effects and latent variable models are broadly used in analyses of multivariate data. These models can accommodate high dimensional data having a variety of measurement scales. Methods for model selection and comparison are needed in conducting hypothesis tests and in building sparse predictive models. However, classical methods for model...
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Springer, 2017. — 292 p. — ISBN 978-3319599748 This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics. It reviews almost all areas of applied statistics, from basic...
  • №148
  • 6,04 МБ
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Beachwood, Ohio: Institute of Mathematical Statistics, 2007. — 519 p. — (Institute of Mathematical Statistics. Lecture Notes–Monograph Series 53). — ISBN 9780940600690. The purpose of this book is to present a version of multivariate statistical theory in which vector space and invariance methods replace, to a large extent, more traditional multivariate methods. The book is a...
  • №149
  • 23,68 МБ
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New York: Chapman and Hall/CRC, 2018. — 464 p. — ISBN: 978-1-138-05488-2 This book presents a systematic and unified approach for modern nonparametric treatment of missing and modified data via examples of density and hazard rate estimation, nonparametric regression, filtering signals, and time series analysis. All basic types of missing at random and not at random, biasing,...
  • №150
  • 5,03 МБ
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New York: Chapman and Hall/CRC, 2018. — 464 p. All basic types of missing at random and not at random, biasing, truncation, censoring, and measurement errors are discussed, and their treatment is explained. Ten chapters of the book cover basic cases of direct data, biased data, nondestructive and destructive missing, survival data modified by truncation and censoring, missing...
  • №151
  • 84,25 МБ
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Chapman and Hall/CRC, 1993. — 436 p. — (Chapman & Hall/CRC Monographs on Statistics & Applied Probability 57). — ISBN 10 0412042312 ISBN 13 978-0412042317. The bootstrap is a computer-based method of statistical inference that can answer many real statistical questions without formulas. The goal of this book is to arm scientists and engineers, as well as statisticians, with...
  • №152
  • 8,24 МБ
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Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability (Book 57). — Chapman and Hall/CRC, 1993. — 436 p. — ISBN: 978-0412042317, e-ISBN: 978-1489945419. Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An...
  • №153
  • 10,50 МБ
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N.-Y.: Wiley-Interscience, 1980. - 480p. Survival analysis deals with the distribution of life times, essentially the times from an initiating event such as birth or the start of a job to some terminal event such as death or pension. This book, originally published in 1980, surveys and analyzes methods that use survival measurements and concepts, and helps readers apply the...
  • №154
  • 14,16 МБ
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CRC Press; Chapman and Hall/CRC, 2017. — 262 p. — (Monographs on statistics and applied probability). — ISBN 9781439807828, 1439807825. Longitudinal studies often incur several problems that challenge standard statistical methods for data analysis. These problems include non-ignorable missing data in longitudinal measurements of one or more response variables, informative...
  • №155
  • 4,05 МБ
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Boca Raton: CRC Press, 2017. — 418 p. Athough books covering experimental design are often written for academic courses taken by statistics majors, most experiments performed in industry and academic research are designed and analyzed by non-statisticians. Therefore, a need exists for a desk reference that will be useful to practitioners who use experimental designs in their work....
  • №156
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Marcel Dekker, 1999. — 356. When the first edition of this book, Spline Smoothing and Nonparametric Regression, appeared in 1988 it joined Prakasa Rao and Muller as the books concerning nonparametric regression which were widely available at that time. In the ensuing decade the number and variety of texts has increased substantially and many wonderful books are now available...
  • №157
  • 2,66 МБ
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2nd ed. — John Wiley & Sons Ltd., 2010. — 324 p. — ISBN 9780470711170, 9781118887486, 0470711175. Multivariate analysis plays an important role in the understanding of complex data sets requiring simultaneous examination of all variables. Breaking through the apparent disorder of the information, it provides the means for both describing and exploring data, aiming to extract the...
  • №158
  • 44,77 МБ
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Chapman and Hall, 1981. — 149 p. Finite mixture distributions arise in a variety of applications ranging from the length distribution of fish to the content of DNA in the nuclei of liver cells. The literature surrounding them is large and goes back to the end of the last century when Karl Pearson published his well-known paper on estimating the five parameters in a mixture of...
  • №159
  • 930,00 КБ
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CRC Press, Taylor & Francis Group, 2017. — 656 p. — ISBN 1466588179. Statistical Analysis of Contingency Tables is an invaluable tool for statistical inference in contingency tables. It covers effect size estimation, confidence intervals, and hypothesis tests for the binomial and the multinomial distributions, unpaired and paired 2x2 tables, rxc tables, ordered rx2 and 2xc tables,...
  • №160
  • 7,13 МБ
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New York: Chapman and Hall/CRC, 1996. — 355 p. Preface From linear regression to nonlinear regression Local modelling Bandwidth selection and model complexity Scope of the book Implementation of nonparametric techniques Further reading Introduction Nadaraya-Watson estimator Gasser-Miiller estimator Limitations of a local constant fit Local polynomial fitting and derivative...
  • №161
  • 4,10 МБ
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Cambridge University Press, 2013. — 173 pages. — ISBN: 1107682266 This title forms part of the completely new Mathematics for the IB Diploma series. This highly illustrated book covers topic 7 of the IB Diploma Higher Level Mathematics syllabus, the optional topic Statistics and Probability. It is also for use with the further mathematics course. Based on the new group 5 aims,...
  • №162
  • 10,15 МБ
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Marcel Dekker, 2002. — 280 pages. ISBN: 0824707184. Examines classic algorithms, geometric diagrams, and mechanical principles for enhancing visualization of statistical estimation procedures and mathematical concepts in physics, engineering, and computer programming.
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  • 2,50 МБ
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Springer, 2006. — 260 p. — (Springer Series in Statistics). — ISBN 978-0387-30369-7, 0-387-30369-3. Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On the other hand, nonparametric statistics produces useful tools for standard data exploration. This book links these two fields of modern statistics by explaining how functional data...
  • №164
  • 2,37 МБ
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Springer Science & Business Media, 2011. — 473 p. — ISBN 978-3-642-13311-4. The growing capabilities in generating and collecting data has risen an urgent need of new techniques and tools in order to analyze, classify and summarize statistical information, as well as to discover and characterize trends, and to automatically bag anomalies. This volume provides the latest advances...
  • №165
  • 8,59 МБ
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Sage, 2012. — 992 p. — ISBN 978-1-4462-0046-9 The R version of Andy Field's hugely popular Discovering Statistics Using SPSS takes students on a journey of statistical discovery using the freeware R. Like its sister textbook, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material...
  • №166
  • 18,39 МБ
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CRC, 2017. — 341 p. — ISBN 978-1-4987-4824-7. This book is designed primarily for upper level undergraduate and graduate level students taking a course in multilevel modelling and/or statistical modelling with a large multilevel modelling component. The focus is on presenting the theory and practice of major multilevel modelling techniques in a variety of contexts, using Mplus as...
  • №167
  • 3,66 МБ
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New York: Springer, 2015. - 661p. Introduces legal professionals to probability and statistics Includes numerous cases and case studies Readers can practice math skills by following the calculations provided This classic text, first published in 1990, is designed to introduce law students, law teachers, practitioners, and judges to the basic ideas of mathematical probability...
  • №168
  • 7,79 МБ
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Springer, 2008. — 296 p. Failure Rate Modeling for Reliability and Risk focuses on reliability theory and, specifically, to the failure rate (the hazard rate, the force of mortality) modeling and its generalizations to systems operating in a random environment and to repairable systems. The failure rate is one of the crucial probabilistic characteristics for a number of...
  • №169
  • 4,77 МБ
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Boca Raton, CRC Press LLC, 2000. - без пагинации, 8 файлов в архиве. Сборник материалов международного семинара по статистике. Представлены доклады "Экстремальные значения и их применение в охране окружающей среды, страховании и финансах", "Применение экстремальных моделей на практике и ошибки в их применении", "Риск-менеджмент с использованием теории экстремальных значений",...
  • №170
  • 5,26 МБ
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12 ed. — Hafner Publishing, 1954. — 370 p. Ronald A. Fisher was interested in application and in the popularization of statistical methods and his early book Statistical Methods for Research Workers, published in 1925, went through many editions and motivated and influenced the practical use of statistics in many fields of study. His Design of Experiments (1935) promoted...
  • №171
  • 6,04 МБ
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Third Edition. — Hoboken, John Wiley & Sons, 2003. — 793 p. — ISBN: 0-471-52629-0. Монография посвящена статистическому анализу данных, представленных в номинальной (категоризованной) шкале и выявлению статистической значимости долей и пропорций. Рассмотрены, среди прочего, вопросы рандомизации, сравнения разных выборок, логистической и пуассоновской регрессии, проблема...
  • №172
  • 4,37 МБ
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Cambridge University Press, 2010. — 399 p. — ISBN: 978-0521195003, e-ISBN: 978-0511688836. David A. Freedman presents here a definitive synthesis of his approach to causal inference in the social sciences. He explores the foundations and limitations of statistical modeling, illustrating basic arguments with examples from political science, public policy, law, and epidemiology....
  • №173
  • 1,45 МБ
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Springer, 2006. — 492 p. — (Springer Series in Statistics). — ISBN 978-0387-32909-3. The past decade has seen powerful new computational tools for modeling which combine a Bayesian approach with recent Monte simulation techniques based on Markov chains. This book is the first to offer a systematic presentation of the Bayesian perspective of finite mixture modelling. The book is...
  • №174
  • 4,28 МБ
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NY: M. Dekker, 1998. — 225 p. — (Quality and Reliability 54). — ISBN 0-8247-9939-9. Provides a theoretical foundation as well as practical tools for the analysis of multivariate data, using case studies and MINITAB computer macros to illustrate basic and advanced quality control methods. This work offers an approach to quality control that relies on statistical tolerance regions,...
  • №175
  • 6,57 МБ
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2nd Edition. Wiley series in probability and statistics. A Wiley-Interscience publication, 1996. – 721 pages. Contents: Introduction. Moving Average and Autoregressive Processes. Introduction to Fourier analysis. Spectral Theory and Filtering. Some Large Sample Theory. Estimation of the Mean and Autocorrelations. The Periodogram, Estimated Spectrum. Parameter...
  • №176
  • 26,05 МБ
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Hoboken: Wiley, 1987. — 458 p. Measurement Error Models offers coverage of estimation for situations where the model variables are observed subject to measurement error. Regression models are included with errors in the variables, latent variable models, and factor models. Results from several areas of application are discussed, including recent results for nonlinear models and...
  • №177
  • 17,27 МБ
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John Wiley & Sons, Inc., 2009. — 472 p. — ISBN 0470454601, 9780470454602. Discover the latest developments and current practices in survey sampling Survey sampling is an important component of research in many fields, and as the importance of survey sampling continues to grow, sophisticated sampling techniques that are both economical and scientifically reliable are essential to...
  • №178
  • 5,07 МБ
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Singapore: Springer, 2018. — 150 p. This book provides a new analytical approach for dynamic data repeatedly measured from multiple subjects over time. Random effects account for differences across subjects. Auto-regression in response itself is often used in time series analysis. In longitudinal data analysis, a static mixed effects model is changed into a dynamic one by the...
  • №179
  • 3,39 МБ
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Routledge, 2015. — 364 p. — ISBN: 0415890055, 9780415890052 In politics, you begin by asking theoretically interesting questions. Sometimes statistics can help answer those questions. When it comes to applied statistics, students shouldn’t just learn a vast array of formula—they need to learn the basic concepts of statistics as solutions to particular problems. Peter Galderisi...
  • №180
  • 2,88 МБ
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Cambridgе University Press, 2008. — 595 p. — ISBN 0521874815, 9780521874816. Analysis of Variance Designs presents the foundations of experimental design: assumptions, statistical significance, strength of effect, and the partitioning of the variance. Exploring the effects of one or more independent variables on a single dependent variable as well as two-way and three-way mixed...
  • №181
  • 14,06 МБ
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Asheboro, NC: Statistical Associates Publishers. 2012. — 53 p. Both curve fitting and nonlinear regression are methods of finding a best-fit line to a set of data points even when the best-fit line is nonlinear. Below, curve-fitting is discussed with respect to the SPSS curve estimation module, obtained by selecting Analyze > Regression > Curve Estimation. This module can compare...
  • №182
  • 1,55 МБ
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Asheboro, NC: Statistical Associates Publishers, 2013. — 159 p. Univariate GLM is the general linear model now often used to implement such long-established statistical procedures as regression and members of the ANOVA family. It is "general" in the sense that one may implement both regression and ANOVA models. One may also have fixed factors, random factors, and covariates as...
  • №183
  • 4,19 МБ
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Asheboro: Statistical Publishing Associates, 2016. - 288 p. This is a graduate-level introduction and illustrated tutorial on partial least squares (PLS). PLS may be used in the context of variance-based structural equation modeling, in contrast to the usual covariance-based structural equation modeling, or in the context of implementing regression models. PLS is largely a...
  • №184
  • 8,64 МБ
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New York: Statistical Associates Publishing, 2013. — 111 p. A study is valid if its measures actually measure what they claim to, and if there are no logical errors in drawing conclusions from the data. There are a great many labels for different types of validity, but they all have to do with threats and biases which would undermine the meaningfulness of research. Researchers...
  • №185
  • 2,91 МБ
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Springer, 2012. — 203 p. Given their key position in the process control industry, process monitoring techniques have been extensively investigated by industrial practitioners and academic control researchers. Multivariate statistical process control (MSPC) is one of the most popular data-based methods for process monitoring and is widely used in various industrial areas....
  • №186
  • 5,36 МБ
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CRC Press, 2016. — 275 p. — (Chapman & Hall/CRC Biostatistics Series). — ISBN 1466570350, 9781466570351. Data Analysis with Competing Risks and Intermediate States explains when and how to use models and techniques for the analysis of competing risks and intermediate states. It covers the most recent insights on estimation techniques and discusses in detail how to interpret the...
  • №187
  • 2,71 МБ
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Hoboken: Wiley, 2018. — 267 p. Kernel smoothing is a flexible nonparametric curve estimation method that is applicable when parametric descriptions of the data are not sufficiently adequate. This book explores theory and methods of kernel smoothing in a variety of contexts, considering independent and correlated data e.g. with short-memory and long-memory correlations, as well as...
  • №188
  • 1,52 МБ
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McGraw-Hill Professional, 2004. — 352 p. Now anyone with an interest in mastering statistics can do so - without formal training, unlimited time, or a private tutor. In Statistics Demystified, best-selling science and math writer Stan Gibilisco provides an effective, anxiety-soothing, and totally painless way to learn or review statistics fundamentals. With "Statistics...
  • №189
  • 7,05 МБ
  • дата добавления неизвестна
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New York: Wiley-Blackwell, 2016. — 224 p. This accessible introductory textbook provides a straightforward, practical explanation of how statistical analysis and error measurements should be applied in biological research. Understanding Statistical Error - A Primer for Biologists: Introduces the essential topic of error analysis to biologists Contains mathematics at a level...
  • №190
  • 2,73 МБ
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Springer, 2000. — 286 p. Independent Component Analysis (ICA) is a fast developing area of intense research interest. Following on from Self-Organising Neural Networks: Independent Component Analysis and Blind Signal Separation, this book reviews the significant developments of the past year. It covers topics such as the use of hidden Markov methods, the independence...
  • №191
  • 4,76 МБ
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Springer. 2013. — 360 pages ISBN: 3319000314 The papers in this book cover issues related to the development of novel statistical models for the analysis of data. They offer solutions for relevant problems in statistical data analysis and contain the explicit derivation of the proposed models as well as their implementation. The book assembles the selected and refereed...
  • №192
  • 5,34 МБ
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Basel: Birkhäuser, 1999. — 332 p. The study of scan statistics and their applications to many different scientific and engineering problems have received considerable attention in the literature recently. In addition to challenging theoretical problems, the area of scan statis­ tics has also found exciting applications in diverse disciplines such as archaeol­ ogy, astronomy,...
  • №193
  • 10,56 МБ
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London: Palgrave McMiillan, 2009. — 343 p. This volume contains an accessible discussion examining computationally-intensive techniques and bootstrap methods, providing ways to improve the finite-sample performance of well-known asymptotic tests for regression models. The book uses the linear regression model as a framework for introducing simulation-based tests to help perform...
  • №194
  • 1,26 МБ
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New York: Collins Reference, 1993. — 230 p. — ISBN 0-06-273102-5. If you have ever looked for P-values by shopping at P mart, tried to watch the Bernoulli Trials on "People's Court, " or think that the standard deviation is a criminal offense in six states, then you need The Cartoon Guide to Statistics to put you on the road to statistical literacy. The Cartoon Guide to Statistics...
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  • 4,44 МБ
  • дата добавления неизвестна
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2nd ed. — John Wiley & Sons, Inc, 2006. — 254 p. Given a prediction rule based on a set of patients, what is the probability of incorrectly predicting the outcome of a new patient? Call this probability the true error. An optimistic estimate is the apparent error, or the proportion of incorrect predictions on the original set of patients, and it is the goal of this article to...
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  • 1,16 МБ
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4 ed. — John Wiley & Sons, 2012. — 336 p. — ISBN: 978-1-118-29439-0. Common Errors in Statistics (and How to Avoid Them), Fourth Edition provides a mathematically rigorous, yet readily accessible foundation in statistics for experienced readers as well as students learning to design and complete experiments, surveys, and clinical trials. Providing a consistent level of...
  • №197
  • 3,80 МБ
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Качественное пособие для работы со статистическими данными; освещаются наиболее часто встречающиеся ошибки на разных стадиях исследования: от сбора данных до спецификации эконометрической модели и презентации результатов. Даются конкретные практические рекомендации по повышению качества работы исследователя. Год выпуска: 2003. Автор: Good P. , Hardin J. / Гуд Ф., Хардин Дж....
  • №198
  • 917,55 КБ
  • дата добавления неизвестна
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Boston: Birkhäuser, 2005. — 266 p. — ISBN 978-0-8176-4386-7. Intended for class use or self-study, this text aspires to introduce statistical methodology to a wide audience, simply and intuitively, through resampling from the data at hand. The resampling methods—permutations, cross-validation, and the bootstrap—are easy to learn and easy to apply. They require no mathematics...
  • №199
  • 1,84 МБ
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4 ed. — John Wiley & Sons, 2012. — 336 p. — ISBN: 978-1-118-29439-0 Common Errors in Statistics (and How to Avoid Them), Fourth Edition provides a mathematically rigorous, yet readily accessible foundation in statistics for experienced readers as well as students learning to design and complete experiments, surveys, and clinical trials. Providing a consistent level of coherency...
  • №200
  • 6,90 МБ
  • добавлен
  • изменен
Wiley-Interscience – 2005, 245 pages ISBN: 0471731919, 9780471731917 Learn statistical methods quickly and easily with the discovery method With its emphasis on the discovery method, this publication encourages readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. Readers quickly master and learn to apply statistical methods,...
  • №201
  • 4,33 МБ
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Hoboken: Wiley, 2016. - 500p. This book provides a first course on parameter estimation (point estimates and confidence interval estimates), hypothesis testing, ANOVA and simple linear regression. The authors approach combines mathematical depth with numerous examples and demonstrations using the JMP software. A first course on basic statistical methodology using JMP Provides...
  • №202
  • 36,84 МБ
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London: Routledge, 2012. — 742 p. — ISBN 9780415875363. Applied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with the basic skills that they need to estimate, interpret, present, and publish statistical models using contemporary standards. The book targets the social and health science branches such as human...
  • №203
  • 12,14 МБ
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London: Pearson, 2016. — 586 p. — ISBN 978-1-292-16122-8. This book is ideal for a one-semester course in statistics, offering a streamlined presentation of Essential Statistics: Exploring the World through Data, by Gould and Ryan. We live in a data-driven world, and this is a book about understanding and working with that data. In order to be informed citizens, authors Rob Gould...
  • №204
  • 16,52 МБ
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New York: Nova Science Publishers, Inc., 2017. — 154 p. This book provides new research on principal component analysis (PCA). Chapter One introduces typical PCA applications of transcriptomic, proteomic and metabolomic data. Chapter Two studies the factor analysis of an outcome measurement survey for science, technology and society. Chapter Three examines the application of PCA...
  • №205
  • 3,16 МБ
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Cambridge: Cambridge University Press, 2008. — 402 p. Presenting a thorough overview of the theoretical foundations of non-parametric system identification for nonlinear block-oriented systems, this books shows that non-parametric regression can be successfully applied to system identification, and it highlights the achievements in doing so. With emphasis on Hammerstein, Wiener...
  • №206
  • 3,02 МБ
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CRC Press, Taylor & Francis Group, 2019. — 136 p. — (CHAPMAN & HALL/CRC, Interdisciplinary Statistics Series). — ISBN 1138316431. Compositional Data Analysis in Practice is a user-oriented practical guide to the analysis of data with the property of a constant sum, for example percentages adding up to 100%. Compositional data can give misleading results if regular statistical...
  • №207
  • 26,69 МБ
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3rd Ed. — Chapman and Hall/CRC, 2016. — 423 p. — (Interdisciplinary Statistics Series). — ISBN 978-1-4987-3177-5. Drawing on the author’s 45 years of experience in multivariate analysis, Correspondence Analysis in Practice, Third Edition, shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. CA and its...
  • №208
  • 4,46 МБ
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Second Edition. — N.-Y.: Chapman & Hall/CRC, 2007. — 296 p. — ISBN: 978-1-58488-616-7. Drawing on the author’s experience in social and environmental research, Correspondence Analysis in Practice, Second Edition shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. This completely revised, up-to-date...
  • №209
  • 2,51 МБ
  • добавлен
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3rd Ed. — Chapman and Hall/CRC, 2016. — 326 p. — (Chapman & Hall/CRC Interdisciplinary Statistics). — ISBN 10 1498731775. — ISBN 13 978-1498731775. Drawing on the author’s 45 years of experience in multivariate analysis, Correspondence Analysis in Practice, Third Edition, shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide...
  • №210
  • 8,62 МБ
  • добавлен
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3rd Ed. — Chapman and Hall/CRC, 2016. — 462 p. — (Chapman & Hall/CRC Interdisciplinary Statistics). — ISBN 10 1498731775. — ISBN 13 978-1498731775. Drawing on the author’s 45 years of experience in multivariate analysis, Correspondence Analysis in Practice, Third Edition, shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide...
  • №211
  • 8,65 МБ
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3rd Ed. — Chapman and Hall/CRC, 2016. — 403 p. — (Chapman & Hall/CRC Interdisciplinary Statistics). — ISBN 10 1498731775. — ISBN 13 978-1498731775. Drawing on the author’s 45 years of experience in multivariate analysis, Correspondence Analysis in Practice, Third Edition, shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide...
  • №212
  • 8,73 МБ
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3rd Ed. — Chapman and Hall/CRC, 2016. — 423 p. — (Chapman & Hall/CRC Interdisciplinary Statistics). — ISBN 10 1498731775. — ISBN 13 978-1498731775. Drawing on the author’s 45 years of experience in multivariate analysis, Correspondence Analysis in Practice, Third Edition, shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide...
  • №213
  • 14,12 МБ
  • добавлен
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Wiley, 1996. — 147 p. Chi-squared testing is one of the most commonly applied statistical techniques. It provides reliable answers for researchers in a wide range of fields, including engineering, manufacturing, finance,agriculture, and medicine. A Guide to Chi-Squared Testing brings readers up to date on recent innovations and important material previously published only in the...
  • №214
  • 18,47 МБ
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Hoboken: Wiley, 1996. — 147 p. Chi-squared testing is one of the most commonly applied statistical techniques. It provides reliable answers for researchers in a wide range of fields, including engineering, manufacturing, finance,agriculture, and medicine. A Guide to Chi-Squared Testing brings readers up to date on recent innovations and important material previously published only...
  • №215
  • 4,25 МБ
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Washington: American Psychological Association (APA), 2000. — 437 p. — ISBN 1-55798-698-3. Since 1995, over 13,000 graduate students and researchers have relied on Reading and Understanding Multivariate Statistics for a basic understanding of the most commonly used multivariate analyses in the research literature today. In Reading and Understanding MORE Multivariate Statistics,...
  • №216
  • 7,63 МБ
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NY: Springer, 2013. — 433 p. — (Springer Series in Statistics 297). — ISBN 978-1-4614-5368-0. Nonparametric function estimation with stochastic data, otherwise known as smoothing, has been studied by several generations of statisticians. Assisted by the ample computing power in today's servers, desktops, and laptops, smoothing methods have been finding their ways into everyday...
  • №217
  • 5,53 МБ
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Apress, 2018. — 415 p. — ISBN 9781484235249, EISBN 9781484235256. Code files only! Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language. This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics,...
  • №218
  • 46,00 МБ
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Apress, 2018. — 415 p. — ISBN 9781484235249, EISBN 9781484235256. Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language. This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited...
  • №219
  • 7,82 МБ
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New York: Springer, 2016. — 144 p. This book endeavours to give a concise contribution to understanding the data assimilation and related methodologies. The mathematical concepts and related algorithms are fully presented, especially for those facing this theme for the first time. The first chapter gives a wide overview of the data assimilation steps starting from Gauss' first...
  • №220
  • 1,70 МБ
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American Mathematical Society, 2014. — 394 p. This book introduces functional analysis at an elementary level without assuming any background in real analysis, for example on metric spaces or Lebesgue integration. It focuses on concepts and methods relevant in applied contexts such as variational methods on Hilbert spaces, Neumann series, eigenvalue expansions for compact...
  • №221
  • 7,44 МБ
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Springer. 1996. — 490 p. — ISBN: 1441928502. Advanced Statistics provides a rigorous development of statistics that emphasizes the definition and study of numerical measures that describe population variables. Volume 1 studies properties of commonly used descriptive measures. Volume 2 considers use of sampling from populations to draw inferences concerning properties of...
  • №222
  • 12,71 МБ
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John Wiley & Sons, 1991. — 410 p. Presents a detailed exposition of statistical intervals and emphasizes applications in industry. The discussion differentiates at an elementary level among different kinds of statistical intervals and gives instruction with numerous examples and simple math on how to construct such intervals from sample data. This includes confidence intervals...
  • №223
  • 8,91 МБ
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Oxford: Oxford University Press, 2018. — 169 p. — (Understanding Statistics). — ISBN 978–0–19–022205–5. The Philosophy of Quantitative Methods focuses on the conceptual foundations of research methods within the behavioral sciences. In particular, it undertakes a close philosophical examination of a variety of quantitative research methods that are prominent in (or relevant for)...
  • №224
  • 6,05 МБ
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Pearson Prentica Hall. (Seventh Edition). 2010. — 751 pages. ISBN: 0138132631. More than 30 years ago when the first edition of Multivariate Data Analysis was published, we could not have imagined the applications of multivariate statistics would be as pervasive as they are today. This continued interest has contributed to the acceptance of the past six editions of this text...
  • №225
  • 11,03 МБ
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Boston: Pearson, 2010, 7th Edition, - 816 pages. ISBN 0138132631 / 9780138132637. For graduate and upper-level undergraduate marketing research courses. For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. Hair et. al provides an applications-oriented introduction to multivariate analysis...
  • №226
  • 31,91 МБ
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Pearson Prentica Hall, 2010. — 766 p. — 7th Ed. — ISBN: 0138132631, 9780138132637. OCR слой, оглавление. More than 30 years ago when the first edition of Multivariate Data Analysis was published, we could not have imagined the applications of multivariate statistics would be as pervasive as they are today. This continued interest has contributed to the acceptance of the past six...
  • №227
  • 7,53 МБ
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Boston: The MIT Press, 2016. — 229 p. — ISBN 9780262035026. Causality plays a central role in the way people structure the world; we constantly seek causal explanations for our observations. But what does it even mean that an event C "actually caused" event E? The problem of defining actual causation goes beyond mere philosophical speculation. For example, in many legal arguments,...
  • №228
  • 3,72 МБ
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Information Age Publishing, 2007. — 383 p. — ISBN 978-1-59311-847-1. The current volume, Advances in Latent Variable Mixture Models, contains chapters by all of the speakers who participated in the 2006 CILVR conference, providing not just a snapshot of the event, but more importantly chronicling the state of the art in latent variable mixture model research. The volume starts...
  • №229
  • 5,36 МБ
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New York: Springer, 1996. — 231 p. Content: Front Matter Introduction Front Matter Multivariate analysis of variance Univariate analysis of variance Regression methods Random effects models Covariance structures Front Matter Continuous non-normal measures: Gaussian estimation Nonlinear models Generalized linear models and maximum quasi-likelihood estimation Binary and categorical...
  • №230
  • 5,67 МБ
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Cobenhavn: Technical University of Denmark, 2017. — 175 p. As one of the classical statistical regression techniques, and often the first to be taught to new students, least squares fitting can be a very effective tool in data analysis. Given measured data, we establish a relationship between independent and dependent variables so that we can use the data predictively. The main...
  • №231
  • 6,66 МБ
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SpringerVerlag New York, 1995. — 405 p. — ISBN: 9781461286998, 9781461242147. This book describes an interactive statistical computing environment called 1 XploRe. As the name suggests, support for exploratory statistical analysis is given by a variety of computational tools. XploRe is a matrix-oriented statistical language with a comprehensive set of basic statistical operations...
  • №232
  • 8,09 МБ
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Berlin: Springer, 2016. — 516 p. MM*Stat, together with its enhanced online version with interactive examples, offers a flexible tool that facilitates the teaching of basic statistics. It covers all the topics found in introductory descriptive statistics courses, including simple linear regression and time series analysis, the fundamentals of inferential statistics (probability...
  • №233
  • 10,20 МБ
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3rd Edition. — Sringer, 2012. — 533 pages. — ISBN: 3642172288. Most of the observable phenomena in the empirical sciences are of a multivariate nature. In financial studies, assets are observed simultaneously and their joint development is analysed to better understand general risk and to track indices. In medicine recorded observations of subjects in different locations are...
  • №234
  • 8,21 МБ
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2nd Edition. — Springer, 2007. — 455 pages. Most of the observable phenomena in the empirical sciences are of a multivariate nature. In financial studies, assets in stock markets are observed simultaneously and their joint development is analyzed to better understand general tendencies and to track indices. In medicine recorded observations of subjects in different locations...
  • №235
  • 10,06 МБ
  • дата добавления неизвестна
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Hoboken: John Wiley & Sons, Inc., 2008. — 247 p. An accessible introduction to performing meta-analysis across various areas of research. The practice of meta-analysis allows researchers to obtain findings from various studies and compile them to verify and form one overall conclusion. Statistical Meta-Analysis with Applications presents the necessary statistical methodologies...
  • №236
  • 1,30 МБ
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Boca Raton: Chapman and Hall/CRC, 2015. — 367 p. Discover New Methods for Dealing with High-Dimensional Data A sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents methods that exploit sparsity to help...
  • №237
  • 3,37 МБ
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2nd edition. — New York: Guilford Publications, 2018. — 714 p. Lauded for its easy-to-understand, conversational discussion of the fundamentals of mediation, moderation, and conditional process analysis, this book has been fully revised with 50% new content, including sections on working with multicategorical antecedent variables, the use of PROCESS version 3 for SPSS and SAS for...
  • №238
  • 3,41 МБ
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London: Routledge, 2005. - 536p. Statistical Methods for Communication Science focuses on statistics as used and applied in communication research. Writing in a straightforward, personal style, author Andrew F. Hayes offers this accessible and thorough introduction to statistical methods, starting with the fundamentals of measurement and moving on to discuss such key topics as...
  • №239
  • 4,66 МБ
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2nd edition. — New York: Chapman and Hall/CRC, 2017. — 425 p. Cluster Randomised Trials, Second Edition discusses the design, conduct, and analysis of trials that randomise groups of individuals to different treatments. It explores the advantages of cluster randomisation, with special attention given to evaluating the effects of interventions against infectious diseases. Avoiding...
  • №240
  • 6,63 МБ
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Springer, 2016. — 324 p. — (Statistics). — ISBN: 3319412574, 9783319412573 EISBN: 9783319412597 Includes software and data sets so readers may replicate analyses Contains much needed coverage of recent developments in causal inference Begins with an introduction to the concept of potential outcomes as applicable to causal inference concepts, models, and assumptions This...
  • №241
  • 3,04 МБ
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N.-Y.: Wiley, 2006. — 358 p. — ISBN: 0471420271, 9780471420279. Longitudinal data analysis for biomedical and behavioral sciences This innovative book sets forth and describes methods for the analysis of longitudinal data, emphasizing applications to problems in the biomedical and behavioral sciences. Reflecting the growing importance and use of longitudinal data across many...
  • №242
  • 16,95 МБ
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Second Edition. — Berlin: Springer, 2016. — 898 p. New edition features color throughout, reworking of the material to emphasize R (but also utilize SAS), and new material New chapters include Ch. 19 on Likert Scale Data to pick up on the importance of rating scales in fields from population studies to phsychometrics and Ch. 20 on Medical, Pharmaceutical and Social Science...
  • №243
  • 18,99 МБ
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Butterworths, 1960. — 440 с. Книга посвящена статистическому анализу малых частиц, описаны методы обработки данных, методы счета. Затронуты экспериментальные и теоретические области статистика частиц.
  • №244
  • 12,95 МБ
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Butterworths, 1960. — 440 с. Книга посвящена статистическому анализу малых частиц, описаны методы обработки данных, методы счета. Затронуты экспериментальные и теоретические области статистика частиц.
  • №245
  • 5,98 МБ
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New York: Springer, 2019. — 146 p. This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III...
  • №246
  • 3,36 МБ
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Sacramento: Jim Higgins, Ed.D., 2010. — 374 p. The goal of this book is to introduce you to the many ways that statistics can be used to solve practical, real world problems. Examples deal with topics as varied as valuating mental health treatment facilities, testing new drugs, valuating the likelihood of a convicted criminal’s reoffending after parole, hiring the best personnel,...
  • №247
  • 1,45 МБ
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Cambridge: Cambridge University Press, 2014. — 299 p. This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins...
  • №248
  • 1,56 МБ
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New York: Chapman and Hall / CRC Press, 2015. — 163 p. — ISBN 978-1-4987-0958-3. Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable. This powerful methodology can be used to analyze data from various fields, including medical and health outcomes research,...
  • №249
  • 4,14 МБ
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John Wiley & Sons, Inc., 2017. — 422 p. — (Wiley Series in Probability and Statistics). — ISBN 9781119303343. In this important book, internationally acclaimed statistician, Chihiro Hirotsu, goes beyond classical analysis of variance (ANOVA) model to offer a unified theory and advanced techniques for the statistical analysis of experimental data. Dr. Hirotsu introduces the...
  • №250
  • 2,38 МБ
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N-Y.: Wiley, 2006. - 527p. This newly available and affordably priced paperback version of Exploring Data Tables, Trends, and Shapes presents major advances in exploratory data analysis and robust regression methods and explains the techniques, relating them to classical methods. The book addresses the role of exploratory and robust techniques in the overall data-analytic...
  • №251
  • 8,76 МБ
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N.-Y.: Wiley, 1991. — 456 p. The analysis of variance is presented as an exploratory component of data analysis, while retaining the customary least squares fitting methods. Balanced data layouts are used to reveal key ideas and techniques for exploration. The approach emphasizes both the individual observations and the separate parts that the analysis produces. Most chapters...
  • №252
  • 4,95 МБ
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N.-Y.: Routledge, 2014. - 654p. Longitudinal Analysis provides an accessible, application-oriented treatment of introductory and advanced linear models for within-person fluctuation and change. Organized by research design and data type, the text uses in-depth examples to provide a complete description of the model-building process. The core longitudinal models and their...
  • №253
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Neural Networks Research Centre, 2002, -22 pp. Решения более 30 задач из книги Hyvärinen A., Karhunen J., Oja E. Independent Component Analysis (/file/604765) Тематика: случайные величины, распределения вероятностей, случайные процессы, оптимизация, независимые компоненты, максимум правдоподобия, максимум взаимной информации
  • №254
  • 194,60 КБ
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Springer, 2015. — 383 p. Modern imaging techniques and computational simulations yield complex multi-valued data that require higher-order mathematical descriptors. This book addresses topics of importance when dealing with such data, including frameworks for image processing, visualization and statistical analysis of higher-order descriptors. It also provides examples of the...
  • №255
  • 13,65 МБ
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Wadsworth Publishing, 2010. — 652 p. — ISBN: 0495811254, 0840032978. David Howell's practical approach focuses on the context of statistics in behavioral research, with an emphasis on looking before leaping; investigating the data before jumping into a test. This provides you with an understanding of the logic behind the statistics: why and how certain methods are used rather...
  • №256
  • 4,72 МБ
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Wadsworth, Cengage Learning, 2013. – 676 p. in color – 8th ed. – ISBN: 1285076915, 9781285076911 Fundamental Statistics for the Behavioral Sciences focuses on providing the context of statistics in behavioral research, while emphasizing the importance of looking at data before jumping into a test. This practical approach provides readers with an understanding of the logic...
  • №257
  • 40,45 МБ
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Springer Science+Business Media, 1996. — 277 p. — ISBN 978-0-412-98281-1. Multiple Comparisons introduces simultaneous statistical inference and covers the theory and techniques for all-pairwise comparisons, multiple comparisons with the best, and multiple comparisons with a control. The author describes confidence intervals methods and stepwise exposes abuses and misconceptions,...
  • №258
  • 7,74 МБ
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Springer Science+Business Media New York. 2013. — 344 p. This volume presents 27 selected papers in topics that range from statistical applications in business and finance to applications in clinical trials and biomarker analysis. All papers feature original, peer-reviewed content. The editors intentionally selected papers that cover many topics so that the volume will serve the...
  • №259
  • 3,56 МБ
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Boca Raton: CRC Press, 2015. - 250p. Exact sampling, specifically coupling from the past (CFTP), allows users to sample exactly from the stationary distribution of a Markov chain. During its nearly 20 years of existence, exact sampling has evolved into perfect simulation, which enables high-dimensional simulation from interacting distributions. Perfect Simulation illustrates...
  • №260
  • 4,42 МБ
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Springer, 2018. — 108 p. — (SpringerBriefs in Statistics). — ISBN 3319980289. This book presents recent results in finite mixtures of skewed distributions to prepare readers to undertake mixture models using scale mixtures of skew normal distributions (SMSN). For this purpose, the authors consider maximum likelihood estimation for univariate and multivariate finite mixtures where...
  • №261
  • 2,32 МБ
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Wiley, 2012. — 299 p. — (Wiley Series in Survey Methodology). — ISBN 978-1-119-97815-2. A reference to answer all your statistical confidentiality questions. This handbook provides technical guidance on statistical disclosure control and on how to approach the problem of balancing the need to provide users with statistical outputs and the need to protect the confidentiality of...
  • №262
  • 1,67 МБ
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NY: Chapman and Hall/CRC, 2014. — 322 p. — (Statistics in the Social and Behavioral Sciences Series). — ISBN 978-1-4665-9295-7. Developed by the authors, generalized structured component analysis is an alternative to two longstanding approaches to structural equation modeling: covariance structure analysis and partial least squares path modeling. Generalized structured component...
  • №263
  • 8,75 МБ
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John Wiley, 2001. — 505 p. Independent component analysis (ICA) is a statistical and computational technique for revealing hidden factors that underlie sets of random variables, measurements, or signals. ICA defines a generative model for the observed multivariate data, which is typically given as a large database of samples. In the model, the data variables are assumed to be...
  • №264
  • 8,06 МБ
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John Wiley, 2001. — 505 p. Independent component analysis (ICA) is a statistical and computational technique for revealing hidden factors that underlie sets of random variables, measurements, or signals. ICA defines a generative model for the observed multivariate data, which is typically given as a large database of samples. In the model, the data variables are assumed to be...
  • №265
  • 4,76 МБ
  • добавлен
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Milwaukee: ASQC Quality Press, 1993. — 77 p. Outliers are the key focus of this book. The authors concentrate on the practical aspects of dealing with outliers in the forms of data that arise most often in applications: single and multiple samples, linear regression, and factorial experiments.
  • №266
  • 4,26 МБ
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Houston, Texas, USA: Rice University, OpenStax, 2013. — 852 p. — ISBN-13 978-1-938168-20-8. Introductory Statistics follows the scope and sequence of a one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the...
  • №267
  • 28,89 МБ
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Houston: Rice University, Open Stax, 2017. — 909 p. Preface Sampling and Data Descriptive Statistics Probability Topics Discrete Random Variables Continuous Random Variables The Normal Distribution The Central Limit Theorem Confidence Intervals Hypothesis Testing with One Sample Hypothesis Testing with Two Samples The Chi-Square Distribution Linear Regression and Correlation F...
  • №268
  • 11,33 МБ
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Cambridge: Cambridge University Press, 2015. - 644p. Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with the notion of potential...
  • №269
  • 4,73 МБ
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John Wiley and Sons, 1991. — 587 p. Principal Component Analysis (PCA) is a multivariate technique in which a number of related variables are transformed to (hopefully, a smaller) set of uncorrected variables. This book is designed for practitioners of PCA. It is, primarily, a "how-to-do-it" and secondarily a "why-it-works" book.
  • №270
  • 3,95 МБ
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Academic Press, Elsevier, 1991. — 432 p. — ISBN 9780080923673; ISBN 9780123800909. With a useful index of notations at the beginning, this book explains and illustrates the theory and application of data analysis methods from univariate to multidimensional and how to learn and use them efficiently. This book is well illustrated and is a useful and well-documented review of the...
  • №271
  • 6,76 МБ
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Singapore: World Scientific, 2006. - 345 p. This second edition contains all the important material of the first, much of it unavailable from any other sources. In addition, many chapters have been updated with considerable new material, especially in areas concerning the theory and practice of confidence intervals, including the important FeldmanCousins method. Both...
  • №272
  • 2,60 МБ
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New York: Bernan Press, 2017. — 189 p. Created for those who have little experience with statistics, or for those who need to keep a concise reference book on hand, this newly updated handbook provides an introductory guide to basic statistics and data analysis. Using step-by-step methods and both examples and applications common to safety professionals, including loss control...
  • №273
  • 1,18 МБ
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N.-Y.: Wiley, 2015. — 200 p. — ISBN: 978-1118856116. Features basic statistical concepts as a tool for thinking critically, wading through large quantities of information, and answering practical, everyday questions Written in an engaging and inviting manner, Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know presents the more subjective...
  • №274
  • 1,47 МБ
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Wiley, 2016. — 448 p. — ISBN 1119272033, 9781119272038. Statistics is confusing, even for smart, technically competent people. And many students and professionals find that existing books and web resources don’t give them an intuitive understanding of confusing statistical concepts. That is why this book is needed. Some of the unique qualities of this book are: Easy to...
  • №275
  • 16,18 МБ
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New York: Springer, 2018. — 220 p. This book presents the most important ideas behind Bayes’ Rule in a form suitable for the general reader. It is written without formulae because they are not necessary; the ability to add and multiply is all that is needed. As well as showing in full the application of Bayes’ Rule to some quantitatively simple, though not trivial, examples, the...
  • №276
  • 7,75 МБ
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Springer Science+Business Media New York. 2013. - 275 pages. ISBN-10: 1461487145. Panel count data occur in studies that concern recurrent events, or event history studies, when study subjects are observed only at discrete time points. By recurrent events, we mean the event that can occur or happen multiple times or repeatedly. Examples of recurrent events include disease...
  • №277
  • 3,48 МБ
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Springer, 2010. — 609 p. — (Springer Texts in Statistics). — ISBN 978-1-4419-6826-5. This book offers a comprehensive guide to large sample techniques in statistics. More importantly, it focuses on thinking skills rather than just what formulae to use; it provides motivations, and intuition, rather than detailed proofs; it begins with very simple techniques, and connects theory...
  • №278
  • 3,37 МБ
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Springer, 2016. — 218 p. — ISBN 978-3-319-42570-2. Selected Papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, Oregon. The papers in this volume represent the most timely and advanced contributions to the 2014 Joint Applied Statistics Symposium of the International Chinese Statistical Association (ICSA) and the Korean International Statistical Society...
  • №279
  • 6,90 МБ
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New York: Springer, 1991. — 645 p. An easy to read survey of data analysis, linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages, and is complemented by a thorough overview of theory. It is assumed that the reader...
  • №280
  • 9,75 МБ
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Pearson, 2014. — 775 p. — 6th ed. — ISBN: 1292024941, 1299960308, 9781292024943 For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statistics in Education, and graduate-level courses in Experimental Design and Statistics. Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable...
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  • 7,76 МБ
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Solution key to Applied Multivariate Statistical Analysis Pearson, 2014. 6th ed. by Johnson R.A., Wichern D.W. 369 p. Aspects of Multivariate Analysis Matrix Algebra and Random Vectors Sample Geometry and Random Sampling THe Multivariate Normal Distribution Inferences about a mean vector Comparisons of Several Multivariate Means Multivariate Linear Regression Models Principal...
  • №282
  • 24,43 МБ
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6th edition. — Pearson Prentice Hall, 2007. — 773 p. This market leader offers a readable introduction to the statistical analysis of multivariate observations. Gives readers the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Starts with a formulation of the population models, delineates the corresponding...
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  • 7,50 МБ
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6th edition. — Pearson Prentice Hall, 2007. — 773 p. This market leader offers a readable introduction to the statistical analysis of multivariate observations. Gives readers the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Starts with a formulation of the population models, delineates the corresponding...
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  • 14,54 МБ
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New York: Springer, 2016. — 561 p. This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the LISREL computer program. It presents not only the typical uses of LISREL, such as confirmatory factor analysis and structural equation models, but also several other multivariate analysis topics, including...
  • №285
  • 19,04 МБ
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Springer, 2017. — 530 p. — ISBN: 978-3-319-52826-7. This book provides a self-contained presentation of the statistical tools required for evaluating public programs, as advocated by many governments, the World Bank, the European Union, and the Organization for Economic Cooperation and Development. After introducing the methodological framework of program evaluation, the first...
  • №286
  • 39,33 МБ
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3rd Edition. — London: Routledge, 2017. — 379 p. Data Analysis: A Model Comparison Approach to Regression, ANOVA, and Beyond is an integrated treatment of data analysis for the social and behavioral sciences. It covers all of the statistical models normally used in such analyses, such as multiple regression and analysis of variance, but it does so in an integrated manner that...
  • №287
  • 2,06 МБ
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Amazon Digital Services LLC, 2019. — 448 p. — ASIN B07Q85RW16. Mathematical & Statistical Software Solve real-world statistical problems using the most popular R packages and techniques. This book will be a useful guide to solving common and not-so-common challenges in statistics. With this book, you'll be equipped to confidently perform essential statistical procedures across...
  • №288
  • 19,24 МБ
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New York: Chapman and Hall/CRC, 2017. — 349 p. A fair question to ask of an advocate of subjective Bayesianism (which the author is) is "how would you model uncertainty?" In this book, the author writes about how he has done it using real problems from the past, and offers additional comments about the context in which he was working. Content: Bayesian paleoethnobotany Statistical...
  • №289
  • 23,38 МБ
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2nd Edition. — Elsevier, 2018. — 169 p. — ISBN 978-0-12-814348-3. This book, Second Edition, presents common strategies for comparing and evaluating numerical laboratory data. In particular, the text deals with the type of data and problems that laboratory scientists and students in analytical chemistry, clinical chemistry, epidemiology, and clinical research face on a daily...
  • №290
  • 6,80 МБ
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Elsevier, 2013. — 139 p. — ISBN: 0124169716. Laboratory Statistics: Handbook of Formulas and Terms presents common strategies for comparing and evaluating numerical laboratory data. In particular, the text deals with the type of data and problems that laboratory scientists and students in analytical chemistry, clinical chemistry, epidemiology, and clinical research face on a...
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  • 3,26 МБ
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Wiley, 2011. — 257 p. — ISBN: 9780470889497, 9781118491751 This book is an introductory book on improving the quality of a process or a system, primarily through the technique of statistical process control (SPC). There are numerous technical manuals available for SPC, but this book differs in two ways: (1) the basic tools of SPC are introduced in a no-nonsense, simple,...
  • №292
  • 4,67 МБ
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3rd edition. — SAGE Publications, 2006. — 242 p. This expanded and updated Third Edition of Gopal Kanji's best-selling resource on statistical tests covers all the most commonly used tests with information on how to calculate and interpret results with simple datasets. Each entry begins with a short summary statement about the test's purpose, and contains details of the test...
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  • 1,40 МБ
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Springer, 2005. — 395 p. — ISBN: 3540211152, 9783540211150 This is a blend of theory and practical statistical methods written for graduate students and researchers interested in application to plasma physics or to experimental setups. In the first part the history of the subject is described and many exercises help to understand the concepts. In the second part case studies...
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  • 3,29 МБ
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Hoboken, New Jersey: John Wiley & Sons, Inc., 2005. – 355 pages. Current statistical software packages contain only a few clustering techniques and they are not the more modern methods. This forced us to write new programs, the use of which is described in the book. Their present version is for IBM-PC and compatible machines, but the source codes are very portable and have run on...
  • №295
  • 15,55 МБ
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Academic Press, 1977. — 233 p. — (Mathematics in Science & Engineering 124). — ISBN 0-12-402370-3. The notion of a system is found in all organizations of the living world and of the world created by men. The analysis of complex systems with numerous elements, often interdependent, involves the use of methods that are not yet sufficiently general and that are often too theoretical...
  • №296
  • 2,75 МБ
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N.-Y.: Wiley, 1999. - 309p. The statistical theory of shape is a relatively new topic and is generating a great deal of interest and comment by statisticians, engineers and computer scientists. Mathematically, 'shape' is the geometrical information required to describe an object when location, scale and rotational effects are removed. The theory was pioneered by Professor David...
  • №297
  • 13,10 МБ
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Cambridge University Press, 2014. — 298 p. — ISBN: 9781107019560 The case-control approach is a powerful method for investigating factors that may explain a particular event. It is extensively used in epidemiology to study disease incidence, one of the best-known examples being Bradford Hill and Doll's investigation of the possible connection between cigarette smoking and lung...
  • №298
  • 1,59 МБ
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Wiley, 2017. — 603 p. — ISBN 978-1-119-38350-5. The first statistics guide focussing on practical application to process control design and maintenance Statistics for Process Control Engineers is the only guide to statistics written by and for process control professionals. It takes a wholly practical approach to the subject. Statistics are applied throughout the life of a process...
  • №299
  • 19,95 МБ
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The Guilford Press, 2010. - 427 pages. This bestselling text provides a balance between the technical and practical aspects of structural equation modeling (SEM). Using clear and accessible language, Rex B. Kline covers core techniques, potential pitfalls, and applications across the behavioral and social sciences. Some more advanced topics are also covered, including...
  • №300
  • 3,89 МБ
  • дата добавления неизвестна
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New York: The Guilford Press, 2015. — 534 p. — ISBN 978-1-4625-2334-4. Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complete, and accessible structural equation modeling (SEM) text. Continuing the tradition of using real data examples from a variety of disciplines, the significantly revised fourth edition incorporates recent...
  • №301
  • 5,88 МБ
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4th Edition — The Guilford Press, 2016. — 554 p. — ISBN: 9781462523344 Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complete, and accessible structural equation modeling (SEM) text. Continuing the tradition of using real data examples from a variety of disciplines, the significantly revised fourth edition incorporates recent...
  • №302
  • 5,89 МБ
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New York: Springer, 2016. — 384 p. This book presents methods for investigating whether relationships are linear or nonlinear and for adaptively fitting appropriate models when they are nonlinear. Data analysts will learn how to incorporate nonlinearity in one or more predictor variables into regression models for different types of outcome variables. Such nonlinear dependence...
  • №303
  • 6,15 МБ
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Boca Raton: CRC Press, 2017. — 290 p. — (Texts in Statistical Science Series). — ISBN 978-1-498-74634-2. Systematically develops core methodology of functional data analysis Covers recent developments, including sparsely observed and dependent functions Rigorously develops requisite mathematical concepts Uses R for numerical examples and provides a dedicated R package Each chapter...
  • №304
  • 26,72 МБ
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New York: Springer, 2017. — 333 p. — ISBN 978-981-10-2913-4. This book not only provides a comprehensive introduction to neural-based PCA methods in control science, but also presents many novel PCA algorithms and their extensions and generalizations, e.g., dual purpose, coupled PCA, GED, neural based SVD algorithms, etc. It also discusses in detail various analysis methods for...
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  • 4,71 МБ
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Bosa Rosa: CRC Press, 2013. — 193 p. Contents: Hypotheses Testing for Two Samples Hypotheses Testing for Several Samples Tests for Categorical Data Nonparametric Regression Nonparametric Generalized Additive Regression Time-to-Event Analysis Univariate Probability Density Estimation Resampling Methods for Interval Estimation Tables Answers to Exercises Recommended Books Back Cover
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  • 2,52 МБ
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6th ed. — Gabler, 2016. — 364 p. — ISBN 978-3-658-13640-6. Statistik ist die Lehre von Methoden der Gewinnung, Auswertung und Interpretation von Daten über die Wirklichkeit. Dieses Lehrbuch vermittelt anwendungsorientiert die Verfahren der Deskriptiven Statistik, wie sie in den Wirtschafts- und Sozialwissenschaften an Universitäten und Fachhochschulen gelehrt werden. Ein...
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  • 2,59 МБ
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John Wiley & Sons, Inc., 2017. — 263 p. — ISBN: 9781119296331 Features an integrated approach of statistical scenarios and simulations to aid readers in developing key intuitions needed to understand the wide ranging concepts and methods of statistics and inference Illuminating Statistical Analysis Using Scenarios and Simulations presents the basic concepts of statistics and...
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  • 11,46 МБ
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Berlin: Springer, 2013. — 137 p. This book is devoted to a novel approach for dimensionality reduction based on the famous nearest neighbor method that is a powerful classification and regression approach. It starts with an introduction to machine learning concepts and a real-world application from the energy domain. Then, unsupervised nearest neighbors (UNN) is introduced as...
  • №309
  • 6,93 МБ
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Heidelberg: Physica-Verlag, 1986. — 194 p. This monograph grew out of joint work with various dedicated colleagues and students at the Vienna Institute for Advanced Studies. We would probably never have begun without the impetus of Johann Maurer, who for some time was the spiritus rector behind the Institute's macromodel of the Austrian economy. Manfred Deistler provided sustained...
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  • 9,28 МБ
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2nd ed. — CRC Press, 2016. — 404 p. — ISBN: 9781498741491, EISBN: 9781498741507 Easy-to-Use Reference and Software for Statistical Modeling and Testing Handbook of Statistical Distributions with Applications, Second Edition provides quick access to common and specialized probability distributions for modeling practical problems and performing statistical calculations. Along...
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  • 7,12 МБ
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Chapman and Hall/CRC, 2006. — 346 p. — (Statistics: A Series of Textbooks and Monographs). — ISBN: 1584886358, 9781584886358. In the area of applied statistics, scientists use statistical distributions to model a wide range of practical problems, from modeling the size grade distribution of onions to modeling global positioning data. To apply these probability models...
  • №312
  • 6,09 МБ
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Wiley, 2009. — 461 p. — ISBN: 978-0-470-38026-0. A modern and comprehensive treatment of tolerance intervals and regions . The topic of tolerance intervals and tolerance regions has undergone significant growth during recent years, with applications arising in various areas such as quality control, industry, and environmental monitoring. Statistical Tolerance Regions...
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  • 3,04 МБ
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Wiley, 2008. — 615 p. — ISBN: 0470164972, 9780470164976 From a preeminent authority—a modern and applied treatment of multiway data analysis This groundbreaking book is the first of its kind to present methods for analyzing multiway data by applying multiway component techniques. Multiway analysis is a specialized branch of the larger field of multivariate statistics that...
  • №314
  • 9,69 МБ
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3rd Edition. — John Wiley & Sons, Inc., 2016. — 560 p. — (Public Health/Epidemiology and Biostatistics) —ISBN: 111871265X Statistics for Health Care Management and Administration is a unique and invaluable resource for students of health care administration and public health. The book introduces students to statistics within the context of health care, focusing on the major data...
  • №315
  • 24,58 МБ
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John Wiley & Sons, Incorporated , 2012. — 472 p. The development and application of multivariate statistical techniques in process monitoring has gained substantial interest over the past two decades in academia and industry alike. Initially developed for monitoring and fault diagnosis in complex systems, such techniques have been refined and applied in various engineering areas,...
  • №316
  • 10,89 МБ
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New York: Springer, 2013. — 613 p. — ISBN: 978-1-4614-6848-6, e-ISBN: 978-1-4614-6849-3 Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification...
  • №317
  • 4,98 МБ
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Wiley, 2008. — 272 p. — ISBN: 0470028645, 9780470028643 Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence. The book is comprised of two parts The Handbook ,...
  • №318
  • 2,33 МБ
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Packt, 2016. — 354 p. — ISBN 978-1-78398-326-1. A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices Get to grips with the basics of Predictive Analytics with Python Learn how to use the popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and Clustering Book Description Social Media and...
  • №319
  • 4,37 МБ
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Wiley Interscience, 2007. — 420 p. — (Lecture Notes–Monograph Series). — ISBN 0470081473. This book presents modern nonparametric statistics from a practical point of view. It is primarily intended for use with engineers and scientists. While the book covers the necessary theorems and methods of rank tests in an applied fashion, the novelty lies in its emphasis on modern...
  • №320
  • 16,57 МБ
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NY: Routledge, 2015. — 357 p. — ISBN 978-0-415-83898-6. This book provides an up-to-date review of commonly undertaken methodological and statistical practices that are based partially in sound scientific rationale and partially in unfounded lore. Some examples of these methodological urban legends are characterized by manuscript critiques such as: (a) your self-report measures...
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  • 4,30 МБ
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Rice University; University of Houston, Downtown Campus. — 692 p. Introduction Graphing Distributions Summarizing Distributions Describing Bivariate Data Probability Research Design Normal Distributions Advanced Graphs Sampling Distributions Estimation Logic of Hypothesis Testing Testing Means Power Regression Analysis of Variance Transformations Chi Square Distribution-Free Tests...
  • №322
  • 30,14 МБ
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N.-Y.: Wiley, 2015. - 824p. Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified white box approach to data mining methods and...
  • №323
  • 10,22 МБ
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Pearson, 2014 © 2015. — 704 p. in color. — 6th ed. — ISBN: 0321911210, 9780321911216 Statistics opens a window to the modern world, and this market-leading text makes it easy to understand! Larson and Farber’s Elementary Statistics: Picturing the World, Sixth Edition, provides stepped out instruction, real-life examples and exercises, and the use of technology to offer the most...
  • №324
  • 35,09 МБ
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New York: Springer, 2017. — 434 p. This edited book presents the recent developments in partial least squares-path modeling (PLS-PM) and provides a comprehensive overview of the current state of the most advanced research related to PLS-PM. The first section of this book emphasizes the basic concepts and extensions of the PLS-PM method. The second section discusses the...
  • №325
  • 10,26 МБ
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Springer, 2007. — 256 p. — (Springer Series in Statistics). — ISBN: 0387707786, 9780387707785 This book is the reference on indirect sampling and the generalised weight share method. It reviews the different developments done by the author on these subjects. In addition to the underlying theory, the book presents different possible applications that drive its interest. The reader...
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  • 9,88 МБ
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N.-Y.: Springer, 2015. - 242p. This book provides a systematic treatment of the mathematical underpinnings of work in data assimilation, covering both theoretical and computational approaches. Specifically the authors develop a unified mathematical framework in which a Bayesian formulation of the problem provides the bedrock for the derivation, development and analysis of...
  • №327
  • 5,87 МБ
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Springer, 2014. — 836 p. — ISBN: 3319055542, 9783319055541 This textbook teaches crucial statistical methods to answer research questions using a unique range of statistical software programs, including MINITAB and R. This textbook is developed for undergraduate students in agriculture, nursing, biology and biomedical research. Graduate students will also find it to be a useful...
  • №328
  • 28,25 МБ
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Unpublished, 2014. — 246 p. Martingales in discrete time. Brownian motion. Stochastic integration. More stochastic calculus. Change of measure and Girsanov theorem. Jump processes. Fractional Brownian motion. Harmonic functions
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  • 921,76 КБ
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Wiley – 2003, 292 pages ISBN: 0470856041, 9780470856048 Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced...
  • №330
  • 3,56 МБ
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New York: Springer, 2008. - 302p. One of the most intriguing questions facing modern science is the inner workings of the human brain. Functional magnetic resonance imaging (fMRI) is a powerful tool used to study the human brain in action. The data produced from mapping the active processes within the brain present many challenges to statisticians, computer scientists,...
  • №331
  • 3,43 МБ
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New York: Wiley, 1978. — 179 p. Offers a radically new approach to inference with nonexperimental data when the statistical model is ambiguously defined. Examines the process of model searching and its implications for inference. Identifies six different varieties of specification searches, discussing the inferential consequences of each in detail.
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  • 4,22 МБ
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Springer, 2014. — 161 p. This is a text in methods of applied statistics for researchers who design and conduct experiments, perform statistical inference, and write technical reports. These research activities rely on an adequate knowledge of applied statistics. The reader both builds on basic statistics skills and learns to apply them to applicable scenarios without...
  • №333
  • 2,88 МБ
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Springer, 2014. — 168 p. — ISBN: 3319024019. This is a text in methods of applied statistics for researchers who design and conduct experiments, perform statistical inference, and write technical reports. These research activities rely on an adequate knowledge of applied statistics. The reader both builds on basic statistics skills and learns to apply it to applicable scenarios...
  • №334
  • 4,27 МБ
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Boca Raton: CRC Press, 2019. — 179 p. Global climate change is typically understood and modeled using global climate models (GCMs), but the outputs of these models in terms of hydrological variables are only available on coarse or large spatial and time scales, while finer spatial and temporal resolutions are needed to reliably assess the hydro-environmental impacts of climate...
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  • 8,65 МБ
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Springer, 1998. — 219 p. — ISBN 978-1-4419-5056-7. Independent Component Analysis (ICA) is a signal-processing method to extract independent sources given only observed data that are mixtures of the unknown sources. Recently, blind source separation by ICA has received considerable attention because of its potential signal-processing applications such as speech enhancement...
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  • 3,14 МБ
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N.-Y.: Chapman and Hall/CRC, 2009. - 464p. Through clear, step-by-step mathematical calculations, Applied Statistical Inference with MINITAB enables students to gain a solid understanding of how to apply statistical techniques using a statistical software program. It focuses on the concepts of confidence intervals, hypothesis testing, validating model assumptions, and power...
  • №337
  • 14,83 МБ
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Boca Raton: Chapman & Hall/CRC, 2013. - 284p. Newcomers to quantitative analysis need practical guidance on how to analyze data in the real world yet most introductory books focus on lengthy derivations and justifications instead of practical techniques. Covering the technical and professional skills needed by analysts in the academic, private, and public sectors, Applying...
  • №338
  • 5,88 МБ
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N.-Y.: Wiley, 2008. - 602p. A trusted classic on the key methods in population sampling—now in a modernized and expanded new edition Sampling of Populations, Fourth Edition continues to serve as an all-inclusive resource on the basic and most current practices in population sampling. Maintaining the clear and accessible style of the previous edition, this book outlines the...
  • №339
  • 28,28 МБ
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CRC, 2016. — 340 p. — ISBN 9781498776776. Complex Survey Data Analysis with SAS(r) is an invaluable resource for applied researchers analyzing data generated from a sample design involving any combination of stratification, clustering, unequal weights, or finite population correction factors. After clearly explaining how the presence of these features can invalidate the...
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  • 2,29 МБ
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Boca Raton: CRC Press, 2019. — 317 p. This book collects important advances in methodology and data analysis for directional statistics. It is the companion book of the more theoretical treatment presented in Modern Directional Statistics (CRC Press, 2017). The field of directional statistics has received a lot of attention due to demands from disciplines such as life sciences or...
  • №341
  • 100,76 МБ
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Springer, 2019. — 386 p. — (Springer Texts in Statistics). — ISBN 978-1-4939-9759-6. This textbook offers an accessible and comprehensive overview of statistical estimation and inference that reflects current trends in statistical research. It draws from three main themes throughout: the finite-sample theory, the asymptotic theory, and Bayesian statistics. The authors have...
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  • 4,69 МБ
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New York: Springer, 2015. — 87 p. This brief presents four practical methods to effectively explore causal relationships, which are often used for explanation, prediction and decision making in medicine, epidemiology, biology, economics, physics and social sciences. The first two methods apply conditional independence tests for causal discovery. The last two methods employ...
  • №343
  • 2,54 МБ
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John Wiley & Sons, Inc., 2002. — 212 p. — ISBN: 0471386464. An incomparably useful examination of statistical methods for comparison. The nature of doing science, be it natural or social, inevitably calls for comparison. Statistical methods are at the heart of such comparison, for they not only help us gain understanding of the world around us but often define how our research...
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  • 5,66 МБ
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Springer, 2016. — 351 p. Selected Papers from the 2015 ICSA/Graybill Applied Statistics Symposium, Colorado State University, Fort Collins. The papers in this volume represent a broad, applied swath of advanced contributions to the 2015 ICSA/Graybill Applied Statistics Symposium of the International Chinese Statistical Association, held at Colorado State University in Fort...
  • №345
  • 6,52 МБ
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Springer, 2012. — 173 p. — ISBN: 9781461405610, 9781461405627 Agreement assessment techniques are widely used in examining the acceptability of a new or generic process, methodology and/or formulation in areas of lab performance, instrument/assay validation or method comparisons, statistical process control, goodness-of-fit, and individual bioequivalence. Successful...
  • №346
  • 1,92 МБ
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17th Edition. — New York: McGraw-Hill/Irwin, 2017. — 897 p. Lind/Marchal/Wathen is a perennial market best seller due to its comprehensive coverage of statistical concepts and methods delivered in a student friendly, step-by-step format. The text presents concepts clearly and succinctly with a conversational writing style and illustrates concepts through the liberal use of...
  • №347
  • 20,10 МБ
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New York: A Hodder Arnold Publication, 1999. — 226 p. Written by a renowned statistician, this book presents the basic ideas behind the statistical methods commonly used in studies of human subjects. It is an ideal guide for advanced undergraduates who are beginning to do their own research. It presents the basic principles in a non-mathematical way and is accessible to a wide...
  • №348
  • 555,17 КБ
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Oxford: Oxford University Press, 1995. — 304 p. Categorical data analysis is a special area of generalized linear models, which has become the most important area of statistical applications in many disciplines, from medicine to social sciences. This text presents the standard models and many newly developed ones in a language that can be immediately applied in many modern...
  • №349
  • 9,46 МБ
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N-Y.: Springer. 2014. — 490 p. Non-parametric methods are widely used for studying populations that take on a ranked order (such as movie reviews receiving one to four stars). The use of non-parametric methods may be necessary when data have a ranking but no clear numerical interpretation, such as when assessing preferences. In terms of levels of measurement, non-parametric...
  • №350
  • 3,45 МБ
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Springer, 2014. — 490 p. — ISBN-10: 1461490405. Non-parametric methods are widely used for studying populations that take on a ranked order (such as movie reviews receiving one to four stars). The use of non-parametric methods may be necessary when data have a ranking but no clear numerical interpretation, such as when assessing preferences. In terms of levels of measurement,...
  • №351
  • 9,07 МБ
  • добавлен
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Second Edition. — N.-Y.: Wiley, 2002. — 408 p. — ISBN: 0-471-18386-5. Praise for the First Edition of Statistical Analysis with Missing Data: "An important contribution to the applied statistics literature. I give the book high marks for unifying and making accessible much of the past and current work in this important area." — William E. Strawderman, Rutgers University. "This...
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  • 2,53 МБ
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Mahwah, N.J. : Lawrence Erlbaum Associates, 2005. — 113 p. Working With Numbers and Statistics: A Handbook for Journalists will bolster math skills and improve math confidence for journalists at all skill levels. Authors Charles Livingston and Paul Voakes developed this resource book to improve journalistic writing and reporting, enabling journalists to:*make accurate, reliable...
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  • 4,83 МБ
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