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A. C. Davison

D. V. Hinkley

Bootstrap Methods and their Application Paperback – Oct. 28 1997

by A. C. Davison (Author), D. V. Hinkley (Author)

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Part of: Cambridge Series in Statistical and Probabilistic Mathematics (40 books)

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This book gives a broad and up-to-date coverage of bootstrap methods, with numerous applied examples, developed in a coherent way with the necessary theoretical basis. Applications include stratified data; finite populations; censored and missing data; linear, nonlinear, and smooth regression models; classification; time series and spatial problems. Special features of the book include: extensive discussion of significance tests and confidence intervals; material on various diagnostic methods; and methods for efficient computation, including improved Monte Carlo simulation. Each chapter includes both practical and theoretical exercises. Included with the book is a disk of purpose-written S-Plus programs for implementing the methods described in the text. Computer algorithms are clearly described, and computer code is included on a 3-inch, 1.4M disk for use with IBM computers and compatible machines. Users must have the S-Plus computer application. Author resource page: http://statwww.epfl.ch/davison/BMA/

ISBN-10

0521574714
ISBN-13

978-0521574716
Publisher

Cambridge University Press
Publication date

Oct. 28 1997
Language

English
Dimensions

17.78 x 3.4 x 25.4 cm
Print length

594 pages
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Review

"...well-illustrated examples..." Sociological Methods and Research

"The number and diversity of examples greatly enhance the understanding of the text. We marvel at the number of resamples that were taken in support of the book! The authors use hundreds of plots and dozens of tables to demonstrate and evaluate the uses of bootstrap... Statisticians with little or no familiarity with the bootstrap will find Bootstrap Methods and Their Application to be a thorough introduction to its use in solving real-world problems...We recommend this book most highly. It made us stop and think regularly and contributed tremendously to our understanding of the bootstrap. It is an excellent book for professors, students, practicioners, and researchers alike." Thomas Loughin and Christopher R. Bilder, Journal of the American Statistical Association

"...a comprehensive and extremely readable overview of the current state of art in bootstrap methodology. Through the numerous exercises, practicals and examples the reader obtains a good understanding for the strength of bootstrap methods, the problems for which they work and how to avoid their pitfalls. I strongly recommend this book to anybody who uses, or wishes to use, bootstrap methods...this book should be part of your library." The University of Adelaide

"The authors have done an excellent job of mixing up the theory and the applications of bootstrap...Every applied statistician who wants to apply bootstrap with some knowledge of the underlined theory so that it is not applied improperly should take a look at this book." Technometrics

Book Description

This book on statistical methods was first published in 1997 and has code on a supporting website.

Product details

Publisher ‏ : ‎ Cambridge University Press (Oct. 28 1997)
Language ‏ : ‎ English
Paperback ‏ : ‎ 594 pages
ISBN-10 ‏ : ‎ 0521574714
ISBN-13 ‏ : ‎ 978-0521574716
Item weight ‏ : ‎ 1 kg
Dimensions ‏ : ‎ 17.78 x 3.4 x 25.4 cm

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16 ratings

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A. C. Davison
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4.2 out of 5

16 global ratings

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Rob H

A solid introduction/reference

Reviewed in Canada 🇨🇦 on July 27, 2010

My academic background is in applied mathematics.

Before using this book, I had done as much research as I could on bootstrap methods using free online resources. I got to the point where these resources were not providing enough detail or theoretical background to allow me to progress any further.

This book covers a lot of topics in bootstrapping where the free online resources were coming up short. The exposition is likely too advanced for someone with little or no mathematics background, but otherwise seems to be at a good level. Without an extensive background in statistics, I have been able to use this book to understand the important ideas and concepts. In most cases I have been able to use the discussion in the book directly to write my own algorithms. In a few cases, it is a little more difficult to jump from the theory described in the book to writing code, but overall it has definitely got me moving in the right direction.

Overall, I'd say this is a very good book and I am happy with the depth and breadth it has added to my study of the field of bootstrapping.

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Michael R. Chernick

you get your money's worth

Reviewed in Canada 🇨🇦 on April 11, 2002

This book is loaded with good text book examples and covers a wide variety of bootstrap applications. It is great as a reference book on the bootstrap or as a course text at a graduate level. Chernick (1999) is a little more up-to-date and covers the classifcation error rate estimation problem that is not addressed in this text. Chernick (1999) also has many more references. Efron and Tibshirani (1993) is another fine text that is a little more intuition based with less mathematics. Fieller's problem with ratio estimation and some other gems are well covered in Efron and Tibshirani but not here. Davison and Hinkley do the best job on time series of any of the bootstrap books with details about moving block bootstrap and some interesting applications.

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Alejandro C. Frery

Exceptionally clear, concise and practical

Reviewed in Canada 🇨🇦 on December 24, 2001

This book has an excellent ballance between practice and theory. It presents the bootstrap as the powerful tool it is through the ellucidation of practical issues. I strongly recommend this book for everyone interested in improving statistical practice.

Reviewed in Canada 🇨🇦 on August 12, 2000

Relevant and clear in explanations throughout.

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Opinion

Reviewed in Spain 🇪🇸 on July 14, 2021

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Contiene ejemplos prácticos ejecutados en R
Bien explicado

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John-Philip Lawo

Bootstrap - just do it

Reviewed in Germany 🇩🇪 on August 26, 2008

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This book ist excellent for anyone interested in being introduced to bootstrap and doing some self-programming as it covers a wide range of boostrap methods and their applications.
However, some examples are some kind far from usual they give a different point of view on some issues.

One person found this helpful

C. Andersen

A Clear Introduction to the Bootstrap & Applications

Reviewed in the United States 🇺🇸 on August 25, 2007

Verified Purchase

This is a well-written book, and I had the basic bootstrap notion figured-out and implemented within a few days, though it will be some time before I develop any serious depth of mastery of the material. For those unfamiliar with the bootstrap method, by a system of resampling from an existing sample of data it provides a means of establishing the standard error for pretty-near any statistical measure (like the standard error of the mean in traditional statistics), as well as the determination of general confidence intervals for those measures, even when the distribution of the data is non-gaussian or unknown. I do find the author's symbolic notation a bit confusing - perhaps TOO compact, and many of the symbolic expressions would really benefit from an associated clearly written paraphrasing (difficult for me to remember all the conventions after putting the book down for a few days). Still, to go from being barely aware of the technique to applying it to the data analysis in a current research project over a period of several weeks suggests that this text does a heck of a good job at conveying the intended introduction.

16 people found this helpful

Dimitri K

No attempt to be understandable

Reviewed in the United States 🇺🇸 on April 27, 2015

Verified Purchase

Books as complicated as this are not written for novices. But some at least try to explain something, some ideas. at least in introduction. This one doesn't try. It is written for those who knows, for a narrow circle. I have a feeling, that it is deliberately written less clearly than possible, to show how smart the author is. Or maybe they don't care.

4 people found this helpful

D. Dalthorp

Tiny equations

Reviewed in the United States 🇺🇸 on March 2, 2015

Verified Purchase

Tiny equations in the Kindle version make the book virtually unreadable.

2 people found this helpful

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