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The Jackknife and Bootstrap - Dongsheng Tu; Jun Shao
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The jackknife and bootstrap are the most popular data-resampling meth? ods used in statistical analysis. The resampling methods replace theoreti? cal derivations required in applying traditional methods (such as substitu? tion and linearization) in statistical analysis by repeatedly resampling the original data and making inferences from the resamples. Because of the availability of inexpensive and fast computing, these computer-intensive methods have caught on very rapidly in recent years and are particularly appreciated by applied statisticians. The primary aims of this book are (1) to provide a systematic introduction to the theory of the jackknife, the bootstrap, and other resampling methods developed in the last twenty years; (2) to provide a guide for applied statisticians: practitioners often use (or misuse) the resampling methods in situations where no theoretical confirmation has been made; and (3) to stimulate the use of the jackknife and bootstrap and further devel? opments of the resampling methods. The theoretical properties of the jackknife and bootstrap methods are studied in this book in an asymptotic framework. Theorems are illustrated by examples. Finite sample properties of the jackknife and bootstrap are mostly investigated by examples and/or empirical simulation studies. In addition to the theory for the jackknife and bootstrap methods in problems with independent and identically distributed (Li.d.) data, we try to cover, as much as we can, the applicatio applied,math,mathematics,probability and statistics,science and math,science and math,statistics,textbooks Statistics, Springer

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The Jackknife and Bootstrap - Shao, Jun Tu, Dongsheng
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[ED: Hardcover], [PU: Springer, Berlin], The Jackknife and bootstrap are the most popular data-resampling methods used in statistical analysis. This book provides a systematic introduction to the theory of the jackknife, bootstrap and other resampling methods that have been developed in the last twenty years. It aims to provide a guide to using these methods which will enable applied statisticians to feel comfortable in applying them to data in their own research. The authors have included examples of applying these methods in various applications in both the independent and identically distributed (iid) case and in more complicated cases with non-iid data sets. Readers are assumed to have a reasonable knowledge of mathematical statistics and so this will be made suitable reading for graduate students, researchers and practitioners seeking a wide-ranging survey of this important area of statistical theory and application. 1st ed. 1995. Corr. 2nd printing 1996. 1996. xvii, 517 S. XVII, 517 p. 235 mm Versandfertig in 3-5 Tagen, DE, [SC: 0.00], Neuware, gewerbliches Angebot, offene Rechnung (Vorkasse vorbehalten)

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The Jackknife and Bootstrap - Shao, Jun Tu, Dongsheng
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ISBN: 9780387945156

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The jackknife and bootstrap are the most popular data-resampling meth- ods used in statistical analysis. The resampling methods replace theoreti- cal derivations required in applying traditional methods (such as substitu- tion and linearization) in statistical analysis by repeatedly resampling the original data and making inferences from the resamples. Because of the availability of inexpensive and fast computing, these computer-intensive methods have caught on very rapidly in recent years and are particularly appreciated by applied statisticians. The primary aims of this book are (1) to provide a systematic introduction to the theory of the jackknife, the bootstrap, and other resampling methods developed in the last twenty years; (2) to provide a guide for applied statisticians: practitioners often use (or misuse) the resampling methods in situations where no theoretical confirmation has been made; and (3) to stimulate the use of the jackknife and bootstrap and further devel- opments of the resampling method, [PU: Springer]

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The Jackknife and Bootstrap - Jun Shao; Dongsheng Tu
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Jun Shao; Dongsheng Tu:
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Mathematics; Applications of Mathematics Bootstrapping, Covariance matrix, Estimator, Factor analysis, Generalized linear model, Likelihood, Monte Carlo method, Resampling, STATISTICA, Time series, Uniform integrability, Variance, linear regression, mathematical statistics, statistics Books Book, Springer Science+Business Media

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The Jackknife and Bootstrap Jackknife-And-Bootstrap~~Jun-Shao Science>Mathematics>Mathematics Hardcover, Springer New York

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Details zum Buch
The Jackknife and Bootstrap

The Jackknife and bootstrap are the most popular data-resampling methods used in statistical analysis. This book provides a systematic introduction to the theory of the jackknife, bootstrap and other resampling methods that have been developed in the last twenty years. It aims to provide a guide to using these methods which will enable applied statisticians to feel comfortable in applying them to data in their own research. The authors have included examples of applying these methods in various applications in both the independent and identically distributed (iid) case and in more complicated cases with non-iid data sets. Readers are assumed to have a reasonable knowledge of mathematical statistics and so this will be made suitable reading for graduate students, researchers and practitioners seeking a wide-ranging survey of this important area of statistical theory and application.

Detailangaben zum Buch - The Jackknife and Bootstrap


EAN (ISBN-13): 9780387945156
ISBN (ISBN-10): 0387945156
Gebundene Ausgabe
Erscheinungsjahr: 1996
Herausgeber: Springer-Verlag GmbH
540 Seiten
Gewicht: 0,964 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 04.06.2007 01:39:09
Buch zuletzt gefunden am 10.10.2017 15:23:27
ISBN/EAN: 0387945156

ISBN - alternative Schreibweisen:
0-387-94515-6, 978-0-387-94515-6


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