Bootstrap Methods: A Guide for Practitioners and Researchers

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9780471756217: Bootstrap Methods: A Guide for Practitioners and Researchers

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

About the Author :

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).

Review :

"Like the first edition, this edition can be used as useful resource book for an array of purposes in various disciplines." (Technometrics, November 2008)

"It is sufficiently well research that most bootstrapping novices will get a good introduction to the subject and many researchers will find something new to augment their knowledge." (Biometrics, September 2008).

"With a strong focus on application ... and coverage of modern developments ... [it] is indispensible for ...practitioners who regularly use statistical methods in research." (Mathematical Reviews 2008)

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

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Michael R. Chernick
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ISBN 10 : 0471756210 ISBN 13 : 9780471756217
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Description du livre John Wiley & Sons, 2007. Gebundene Ausgabe. État : Neu. Neu Neuware, Importqualität, , Sofortversand - This book provides an introduction to the bootstrap for readers who have professional interest in its methods but do not have a background in advanced mathematics. It offers reliable, authoritative coverage of the bootstrap's considerable advantages - as well as its drawbacks. This Second Edition takes great care to draw connections between the more traditional resampling methods and the bootstrap and places even more emphasis on the use of the bootstrap as an exploratory tool including its value in variable selection and other modeling problems. 400 pp. Englisch. N° de réf. du libraire INF1000164248

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Michael R. Chernick
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ISBN 10 : 0471756210 ISBN 13 : 9780471756217
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Description du livre John Wiley & Sons, 2007. Gebundene Ausgabe. État : Neu. Neu Neuware, Importqualität, , Sofortversand - This book provides an introduction to the bootstrap for readers who have professional interest in its methods but do not have a background in advanced mathematics. It offers reliable, authoritative coverage of the bootstrap's considerable advantages - as well as its drawbacks. This Second Edition takes great care to draw connections between the more traditional resampling methods and the bootstrap and places even more emphasis on the use of the bootstrap as an exploratory tool including its value in variable selection and other modeling problems. 400 pp. Englisch. N° de réf. du libraire INF1000164248

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Description du livre John Wiley and Sons Ltd, United Kingdom, 2007. Hardback. État : New. 2nd Revised edition. Language: English . Brand New Book. 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. N° de réf. du libraire AAH9780471756217

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Description du livre John Wiley and Sons Ltd, United Kingdom, 2007. Hardback. État : New. 2nd Revised edition. Language: English . Brand New Book. 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. N° de réf. du libraire AAH9780471756217

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