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An Introduction to the Bootstrap (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) Paperback – January 1, 1993

ISBN-13: 978-0412042317 ISBN-10: 0412042312 Edition: Softcover reprint of the original 1st ed. 1993

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An Introduction to the Bootstrap (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) + Bootstrap Methods and their Application (Cambridge Series in Statistical and Probabilistic Mathematics)
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Product Details

  • Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability (Book 57)
  • Paperback: 456 pages
  • Publisher: Chapman and Hall/CRC; Softcover reprint of the original 1st ed. 1993 edition (January 1, 1993)
  • Language: English
  • ISBN-10: 0412042312
  • ISBN-13: 978-0412042317
  • Product Dimensions: 1.1 x 5.9 x 9.1 inches
  • Shipping Weight: 1.6 pounds (View shipping rates and policies)
  • Average Customer Review: 4.7 out of 5 stars  See all reviews (12 customer reviews)
  • Amazon Best Sellers Rank: #117,519 in Books (See Top 100 in Books)

Editorial Reviews

Review

...an excellent book, and worth a reading by most students and practitioners in statistics... Throughout the book, the authors have spent a lot of effort in introducing difficult ideas in a simple, easy-to-understand manner...
- Hong Kong Statistical Society Newsletter

... written in a style that makes difficult statistical concepts easy to understand ...a wonderful text for the engineer who would like to apply and understand the many different bootstrap techniques that have appeared in the literature in the last fifteen years. It makes an excellent reference text that should grace the shelves of both statisticians and non-statisticians.
- Journal of Quality Technology

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Customer Reviews

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This is a really good resource for learning about bootstrap methods.
Justin
This book is exactly what it advertises to be: a comprehensive discussion of the Bootstrap and Jackknife techniques for analyzing statistical data.
Steven C. Bird
It presents the reader clear explanations and derivations of the more popular techniques.
Anthony D. Becker

Most Helpful Customer Reviews

38 of 40 people found the following review helpful By Michael R. Chernick on February 9, 2008
Format: Paperback
Brad Efron wrote the key paper rediscovering the bootstrap and putting it in its proper place with other resampling techniques in his famous 1979 paper in the Annals of Statistics. His work was a breakthrough that has now led to hundreds of other publications and several books on the bootstrap and more general resampling procedures by himself, his students and many other statisticians. In fact I am working on a book with goals similar to what he and Rob Tibshirani achieve in this monograph. It is a concise and accurate presentation of the bootstrap and its wide variety of applications and is very much up to the state-of-the-art in this rapidly growing area of statistics. It is written in an intuitive fashion and avoids much of the mathematics (Edgeworth expansions etc.) which are needed to provide formal proof that the bootstrap does what it is intended to do. Provides most of the important references up through 1993. For a similar treatment that is more current, see Davison and Hinkley (1997). Bootstrap Methods and their Application. Those interested in the theory and formal mathematics should consult Hall (1992). The Bootstrap and Edgeworth Expansion.
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22 of 22 people found the following review helpful By A Customer on November 17, 1997
Format: Paperback
that's a very simple and clear book about bootstrapping They consider bootstrapping as a way to estimate confidence intervals and other properties of a statistical distribution. Its mainadvantages are a) it requires no knolwedge of the actual distribution(e.g., it does not have to be normal) b) in principle, it can be used with any statistics method and any solution.
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9 of 9 people found the following review helpful By statW on February 4, 2004
Format: Paperback
This is the best book to learn about the bootstrap. Clear style, no empty verbiage, good problems, excellent examples are some of the qualities that make this exposition of Bootstrap great. The math level is minimal - some basic statistics (perhaps at the level of Wackerly et al's book) - is all that's required.
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3 of 3 people found the following review helpful By C. Tu on May 21, 2007
Format: Paperback
This book is designed for people who do not have have background in bootstrap. I found that it is easy to read and understand. You could follow the examples of this book and directly to the "R". Reader should read this book before going to read the "Bootstrap Methods and Their Application".

Dirty your hands and you will get a lot from this book.
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6 of 8 people found the following review helpful By Bartels on March 23, 2006
Format: Paperback
As a physician I was looking for an introductory text on bootstrapping and comparative methods. This book was useful to me to get an impression. Some mathematical background is needed.
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1 of 1 people found the following review helpful By Steven C. Bird on November 18, 2009
Format: Paperback Verified Purchase
This book is exactly what it advertises to be: a comprehensive discussion of the Bootstrap and Jackknife techniques for analyzing statistical data. Well written and clear, it helps to have had at least calculus in school for understanding. Highly recommended.
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