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Title: An Introduction to the Bootstrap by Bradley Efron, Robert J. Tibshirani, Brad Efron, Rob J. Tibshirani ISBN: 0-412-04231-2 Publisher: CRC Press Pub. Date: 15 May, 1994 Format: Hardcover Volumes: 1 List Price(USD): $74.95 |
Average Customer Rating: 4.75 (4 reviews)
Rating: 5
Summary: A great book to learn the Bootstrap method from
Comment: 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.
Rating: 4
Summary: Not for Engineers
Comment: This book provides a good coverage of the very useful bootstrap method. However, post-graduation as an engineer, I find that the method is neither well known nor happily accepted by engineers outside of academia. In the corporate world, bootstrapping is left up to degreed statisticians, as this is what management trusts. As a mechanical engineer, I find that simpler statistical techniques, even if they include broad assumptions, are much more widely accepted. If you are an engineer, leave this up to the statisticians. If you are a statistician, this book is an acceptable source for learning bootstrap.
Rating: 5
Summary: Great introduction by the originator of the bootstrap
Comment: 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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Title: Bootstrap Methods and Their Application (Cambridge Series in Statistical and Probabilistic Mathematics , No 1) by A. C. Davison, D. V. Hinkley, R. Gill, B. D. Ripley, S. Ross, M. Stein, D. Williams ISBN: 0521574714 Publisher: Cambridge University Press Pub. Date: 28 October, 1997 List Price(USD): $39.95 |
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Title: Modern Applied Statistics with S by Brian D. Ripley, William N. Venables ISBN: 0387954570 Publisher: Springer Verlag Pub. Date: 12 August, 2002 List Price(USD): $69.95 |
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Title: Randomization, Bootstrap and Monte Carlo Methods in Biology, Second Edition by Bryan F. J. Manly ISBN: 0412721309 Publisher: CRC Press Pub. Date: 01 March, 1997 List Price(USD): $74.95 |
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Title: Generalized Linear Models, Second Edition by Peter McCullagh, J. A. Nelder ISBN: 0412317605 Publisher: CRC Press Pub. Date: 01 August, 1989 List Price(USD): $79.95 |
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Title: Bootstrap Methods : A Practitioner's Guide by Michael R. Chernick ISBN: 0471349127 Publisher: Wiley-Interscience Pub. Date: 03 September, 1999 List Price(USD): $99.95 |
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