Bootstrap Methods: A Practitioner's Guide by Michael R. Chernick, Chernick

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(Hardcover)

  • Pub. Date: September 1999
  • 288pp

    Reader Rating: (2 ratings)

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    Product Details

    • Pub. Date: September 1999
    • Publisher: Wiley, John & Sons, Incorporated
    • Format: Hardcover, 288pp

    Synopsis

    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 usestatistical 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.

    SciTech Book News

    Biostatistician Chernick introduces the resampling methods to professional who are interested in them but do not have a background in advanced mathematics.

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    Biography

    Michael R. Chernick, PhD, is Principal Senior Statistician at United BioSource Corporation, providing statistical design and analysis for pharmaceutical research on a variety of diseases, including a recent emphasis on oncology. He has over twenty years of experience in the application of statistical methods to the pharmaceutical industry as well as to medical devices, energy data, engineering problems, and insurance data. His research interests include extreme value theory, outliers, data editing, time series, and bootstrap methods. Dr. Chernick is also the coauthor of Introductory Biostatistics for the Health Sciences (Wiley).

    Customer Reviews

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    • Ratings: 2Reviews: 2

    author's reviewby statman311

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    January 25, 2009: This book was the first edition of my book. Asecond edition that is more detailed and up to date came out in 2007.
    As the author most of what I would say about the book would be my own biases. I would rather like to comment on the inaccurate statements of the other reader reviewer. The book does not emphasized the drastic limitations of the bootstrap because there are no drastic limitations. But I do devote a whole chapter on when the bootstrap fails. In some cases remedies for the inconsistency of the bootstrap are covered. The second edition has more remedies including thye m out of n bootstrap.

    In the book I provide a historical perspective and give real applications mainly from my own work. The chapter on confidence intervals does provide a lot of guidance on which bootstrap methods to use including the work of Efron and Tibshirani on this topic.

    I Also Recommend: Statistics for Engineers and Scientists, The Bootstrap And Edgeworth Expansion, The Jackknife And Bootstrap, An Introduction to the Bootstrap, Bootstrap Methods and their Application.

    No value for practitionersby Anonymous

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    August 31, 2002: More of an encylopedia and less a practitioner's guide as there is little guidance given. No mention of the bootstrap's drastic limitations. Lacks a study of small-sample behavior.