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Book: A Practitioner’s Guide to Resampling for Data Analysis, Data Mining, and Modeling

Details applications, contains numerous exercises, lists R and Stata codes in each chapter

Taylor and Francis Group
Tue, 09/20/2011 - 12:12
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(Taylor and Francis: Florence, KY) -- Distribution-free resampling methods such as permutation tests, decision trees, and the bootstrap are used in virtually every research area. The book, A Practitioner’s Guide to Resampling for Data Analysis, Data Mining, and Modeling, by Phillip L. Good (Chapman & Hall, 2011) explains how to use the bootstrap to estimate the precision of sample-based estimates, how to determine sample size and data permutations to test hypotheses, and how to use a decision tree to replace arcane regression methods.

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