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Bootstrap Methods Hardback - - 2nd Edition
by Michael R. Chernick
- New
- Hardback
A$306.28
A$5.77
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Ships from Cold Books (New York, United States)
Details
- Title Bootstrap Methods
- Author Michael R. Chernick
- Binding Hardback
- Edition number 2nd
- Edition 2
- Condition New
- Pages 400
- Volumes 1
- Language ENG
- Publisher John Wiley & Sons
- Publication date pp. xviii + 369 2nd Edition
- Illustrated Yes
- Features Bibliography, Illustrated, Index, Maps, Table of Contents
- Bookseller's Inventory # 6376512
- ISBN 9780471756217 / 0471756210
- Weight 1.57 lbs (0.71 kg)
- Dimensions 9.4 x 6.2 x 0.95 in (23.88 x 15.75 x 2.41 cm)
- Category Mathematics
- Library of Congress subjects Bootstrap (Statistics)
- Library of Congress Catalogue Number 2007029309
- Dewey Decimal Code 519.544
- Quantity available 3
About Cold Books New York, United States
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From the publisher
First line
The bootstrap is a form of a larger class of methods that resample from the original data set and thus are called resampling procedures.
From the rear cover
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:
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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
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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
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A revised chapter on when and why bootstrap fails and remedies for overcoming these drawbacks
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Added coverage on regression, censored data applications, P-value adjustment, ratio estimators, and missing data
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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.
Media reviews
Citations
- Scitech Book News, 03/01/2008, Page 32
