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.
