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An Introduction to the Bootstrap (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) Softcover reprint of the original 1st ed. 1993 Edition

4.8 out of 5 stars 12 customer reviews
ISBN-13: 978-0412042317
ISBN-10: 0412042312
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Frequently Bought Together

  • An Introduction to the Bootstrap (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
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  • Bootstrap Methods and their Application (Cambridge Series in Statistical and Probabilistic Mathematics)
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  • Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction (Institute of Mathematical Statistics Monographs)
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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

From the Back Cover

This book provides the first general introduction to the bootstrap and related methods for assessing statistical accuracy.
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Product Details

  • Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability (Book 57)
  • Hardcover: 456 pages
  • Publisher: Chapman and Hall/CRC; Softcover reprint of the original 1st ed. 1993 edition (May 15, 1994)
  • Language: English
  • ISBN-10: 0412042312
  • ISBN-13: 978-0412042317
  • Product Dimensions: 5.5 x 1 x 8.5 inches
  • Shipping Weight: 1.6 pounds (View shipping rates and policies)
  • Average Customer Review: 4.8 out of 5 stars  See all reviews (12 customer reviews)
  • Amazon Best Sellers Rank: #123,273 in Books (See Top 100 in Books)

Customer Reviews

Top Customer Reviews

By Michael R. Chernick on February 9, 2008
Format: Hardcover
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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By A Customer on November 17, 1997
Format: Hardcover
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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Format: Hardcover
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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Format: Hardcover
This is a really good resource for learning about bootstrap methods. What bootstrapping is, why it works, and how to do it are all explained as plainly as one could hope from a statistical book, but they're also explained in enough detail that the reader comes away with a strong understanding of the theory and math behind the methods.

Although it's an "Introduction", the reader almost certainly needs substantial knowledge of statistics to understand this book. The majority of the book could be understood by anyone with a decent background in statistics, but there are also several chapters that go into much more complicated topics. The authors provide those chapters for a more complete understanding of the topic, but they are not required to appreciate this book.
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Format: Hardcover
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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Format: Hardcover 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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