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Bootstrap Methods: A Practitioner's Guide
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  • Wiley

More About This Title Bootstrap Methods: A Practitioner's Guide

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MICHAEL R. CHERNICK, PhD, is Senior Biostatistician at Biosense Webster, a Johnson & Johnson company.
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English

What is Bootstrapping?

Estimation.

Confidence Sets and Hypothesis Testing.

Regression Analysis.

Forecasting and Time Series Analysis.

Which Resampling Method Should You Use?

Efficient and Effective Simulation.

Special Topics.

When Does Bootstrapping Fail?

Bibliography.

Indexes.
  • English

English

"This book can serve as a useful resource when trying to locate research papers on bootstrap methods and specific applications and will enhance understanding of the historical development of this important area of modern statistics." (Technometrics, February, 2001)

"Biostatistician Chernick introduces the resampling methods to professional who are interested in them but do not have a background in advanced mathematics." (SciTech Book News, Vol. 24, No. 4, December 2000)

A great advantage of the book is the vast bibliography (more than 1600 items on 83 pages!). (Zentralblatt Math, Volume 945, No 20, 2000)

"...successful in its goal of being a useful reference source for practitioners of statistical methods regardless of their background." (SIAM Review, Vol. 43, No. 3, September 2001)

"...is a must on each bootstrapper's bookshelf." (Statistics & Decisions, Vol. 18/3, 2000)

"...will enhance understanding of the historical development of this important area of modern statistics." (Technometrics, February, 2001)

"...this book is helpful for those who want to gain insight into sensible choices when bootstrapping. The plethora of the references can be a guide for existing applications..." (Statistical Methods in Medical Research, Vol. 10, No. 4, 2001)

"...bootstrap is briefly discussed here. However, I recommend the book, Bootstrap Methods, by C. R. Chernick for this computer intensive method. It is an excellent guide for practitioners and it has an extensive bibliography...making it an indispensable reference source." (Technometrics, February 2002)

"...affords the reader...a clear and practical understanding of the bootstrap..." (IIE Transactions on Quality and Reliability Engineering, June 2003)

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