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