Cambridge: Cambridge University Press, 2018. — x, 535 p. — ISBN: 978-1-108-41874-4, 978-1-108-40784-7. True PDF Probability has applications in many areas of modern science, not to mention in our daily life, and its importance as a mathematical discipline cannot be overrated. This engaging book, with its easy to follow writing style, provides a comprehensive, yet concise, introduction to the subject. It covers all of the standard material for undergraduate and first-year-graduate-level courses, as well as many topics that are usually not found in standard texts – such as Bayesian inference, Markov chain Monte Carlo simulation, and Chernoff bounds. The student-friendly text has the following additional features: Is the result of many years of teaching and feedback from students; Stresses why probability is so relevant and how to apply it; Offers many real-world examples to support the theory; Includes more than 750 problems with detailed solutions of the odd-numbered problems; Gives students confidence in their own problem-solving skills.
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Cambridge University Press, 2018. — 445 p. — ISBN: 978-1-108-41585-9. This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic...
3rd ed. — Oxford University Press, 2020. — 592 p. — ISBN: 978-0198847618 (paperback). This third edition is a revised, updated, and greatly expanded version of previous edition of 2001. The 1300+ exercises contained within are not merely drill problems, but have been chosen to illustrate the concepts, illuminate the subject, and both inform and entertain the reader. A broad...
3rd ed. — Springer, 2021. — 930 p. — (Probability Theory and Stochastic Modelling 99). — ISBN 3030618706. Many years have passed since I started writing the first edition, and the need for a comprehensive coverage of modern probability has become more urgent than ever. I am grateful for the opportunity to publish a new, thoroughly revised and expanded edition. Much new material...
3rd edition, 2020. — 718 p. — (Universitext). — ISBN: 978-3-030-56401-8. This popular textbook, now in a revised and expanded third edition, presents a comprehensive course in modern probability theory. Probability plays an increasingly important role not only in mathematics, but also in physics, biology, finance and computer science, helping to understand phenomena such as...
10th Edition. — Pearson Education, Inc., 2019. — 848 p. — ISBN13: 978-0-13-475311-9. For upper-level to graduate courses in Probability or Probability and Statistics, for majors in mathematics, statistics, engineering, and the sciences. Explores both the mathematics and the many potential applications of probability theory A First Course in Probability is an elementary...
Cambridge University Press, 2019. — 327 p. — ISBN: 978-1-107-16407-9. This book provides a friendly and concise introduction to algebra, with an emphasis on its uses in the modern world. The first part of this book covers groups, after some preliminaries on sets, functions, relations, and induction, and features applications such as public-key cryptography, Sudoku, the finite...