Practitioner’s Guide to Resampling for Data Analysis, Data Mining, and Modeling
CRC Press
A Practitioners Guide to Resampling for Data Analysis, Data Mining, and ModelingAuthor(s): Phillip Good\nFormat: Paperback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: Chapman & Hall/CRC\nISBN-13: 9780367382483, 978-0367382483\nSynopsis\nDistribution-free resampling methodspermutation tests, decision trees, and the bootstrapare used today in virtually every research area. A Practitioners Guide to Resampling for Data Analysis, Data Mining, and Modeling explains how to use the bootstrap to estimate the precision of sample-based estimates and to determine sample size, data permutations to test hypotheses, and the readily-interpreted decision tree to replace arcane regression methods.\n\nHighlights \n\nEach chapter contains dozens of thought provoking questions, along with applicable R and Stata code\n\nMethods are illustrated with examples from agriculture, audits, bird migration, clinical trials, epidemiology, image processing, immunology, medicine, microarrays an.
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