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A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling By Phillip Good
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- Sales Rank: #4556373 in Books
- Published on: 2011-08-25
- Original language: English
- Number of items: 1
- Dimensions: 9.30" h x .80" w x 6.20" l, 1.15 pounds
- Binding: Hardcover
- 224 pages
Review
"This is an elementary introduction to the use of resampling methods, such as permutation tests and bootstrap methods, applied in a wide variety of statistical problems. … The book describes sources for code to run the methods it describes, in a variety of languages, and also illustrates using R and Stata code segments. … There are many exercises."
―David J. Hand, International Statistical Review (2013), 81, 2
About the Author
Phillip Good is the author of 18 novels, 625 popular articles in magazines and newspapers, scholarly articles in the fields of astrophysics, biology, biostatistics, computer science, probability, and statistics, and nine statistical texts including Applying Statistics in the Courtroom: A New Approach for Attorneys and Expert Witnesses, Chapman Hall, London, 2001. ISBN 1-58488-271-9, and Managers' Guide to the Design and Conduct of Clinical Trials, Wiley, NY, 2002 (2nd edition, 2006).
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