دانلود کتاب Bootstrap Methods: A Guide for Practitioners and Researchers, Second Edition

A practical and accessible introduction to the bootstrap method——newly revised and updated 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 who have a professional interest in its methods, but are without an advanced background in mathematics. Updated to reflect current techniques and the most up-to-date work on the topic, the Second Edition features: The addition of a second, extended bibliography devoted solely to publications from 1999–2007, which is a valuable collection of references on the latest research in the field A discussion of the new areas of applicability for bootstrap methods, including use in the pharmaceutical industry for estimating individual and population bioequivalence in clinical trials A revised chapter on when and why bootstrap fails and remedies for overcoming these drawbacks Added coverage on regression, censored data applications, P-value adjustment, ratio estimators, and missing data New examples and illustrations as well as extensive historical notes at the end of each chapter With a strong focus on application, detailed explanations of methodology, and complete coverage of modern developments in the field, Bootstrap Methods, Second Edition is an indispensable reference for applied statisticians, engineers, scientists, clinicians, and other practitioners who regularly use statistical methods in research. It is also suitable as a supplementary text for courses in statistics and resampling methods at the upper-undergraduate and graduate levels.Content: Chapter 1 What Is Bootstrapping? (pages 1–25): Chapter 2 Estimation (pages 26–52): Chapter 3 Confidence Sets and Hypothesis Testing (pages 53–77): Chapter 4 Regression Analysis (pages 78–96): Chapter 5 Forecasting and Time Series Analysis (pages 97–113): Chapter 6 Which Resampling Method Should You Use? (pages 114–126): Chapter 7 Efficient and Effective Simulation (pages 127–138): Chapter 8 Special Topics (pages 139–171): Chapter 9 When Bootstrapping Fails Along with Some Remedies for Failures (pages 172–187):