Bootstrap Methods

<b>A practical and accessible introduction to the bootstrap method——newly revised and updated</b> <p>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. <i>Bootstrap Methods</i>, 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.</p> <p>Updated to reflect current techniques and the most up-to-date work on the topic, the <i>Second Edition</i> features:</p> <ul> <li> <p>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</p> </li> <li> <p>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</p> </li> <li> <p>A revised chapter on when and why bootstrap fails and remedies for overcoming these drawbacks</p> </li> <li> <p>Added coverage on regression, censored data applications, P-value adjustment, ratio estimators, and missing data</p> </li> <li> <p>New examples and illustrations as well as extensive historical notes at the end of each chapter</p> </li> </ul> <p>With a strong focus on application, detailed explanations of methodology, and complete coverage of modern developments in the field, <i>Bootstrap Methods</i>, 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.</p>