Springer, 2019. — 259 p. — ISBN 978-981-13-9775-2.This book presents and standardizes statistical models and methods that can be directly applied to both reliability and survival analysis. These two types of analysis are widely used in many fields, including engineering, management, medicine, actuarial science, the environmental sciences, and the life sciences. Though there are a number of books on reliability analysis and a handful on survival analysis, there are virtually no books on both topics and their overlapping concepts. Offering an essential textbook, this book will benefit students, researchers, and practitioners in reliability and survival analysis, reliability engineering, biostatistics, and the biomedical sciences. Table of contents Reliability and Survival Analyses: Concepts and Definitions Some Important Functions and Their Relationships Probability Distribution of Lifetimes: Uncensored Censoring and Truncation Mechanisms Nonparametric Methods Probability Distribution of Lifetimes: Censored and Left Truncated Regression Models Generalized Linear Models Basic Concepts of System Reliability Quality Variation in Manufacturing and Maintenance Decision Stochastic Models Analysis of Big Data Using GLM
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