A Practitioner's Guide to Resampling for Data Analysis Data Mining and Modeling

A Practitioners Guide to Resampling for Data Analysis, Data Mining, and Modeling Resampling methodstechniques for repeatedly resampling data to obtain resultsare being used in virtually every research area. This practical guide discusses the applications of these methods in a wide variety of subject areas. Each chapter contains a wealth of examples along with R and Stata code for implementing the techniques. Written by a leading authority in the field, the text covers estimation, two-sample and k-sample univariate, and multivariate comparisons of means and variances, sample size determination, categorical data analysis, multiple hypotheses, and model building. Distribution-free resampling methods—permutation tests, decision trees, and the bootstrap—are used today in virtually every research area. A Practitioner’s 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.Highlights Each chapter contains dozens of thought provoking questions, along with applicable R and Stata codeMethods are illustrated with examples from agriculture, audits, bird migration, clinical trials, epidemiology, image processing, immunology, medicine, microarrays and gene selectionLists of commercially available software for the bootstrap, decision trees, and permutation tests are incorporated in the textAccess to APL, MATLAB, and SC code for many of the routines is provided on the author’s websiteThe text covers estimation, two-sample and k-sample univariate, and multivariate comparisons of means and variances, sample size determination, categorical data, multiple hypotheses, and model buildingStatistics practitioners will find the methods described in the text easy to learn and to apply in a broad range of subject areas from A for Accounting, Agriculture, Anthropology, Aquatic science, Archaeology, Astronomy, and Atmospheric science Autor: Phillip Good Wydawnictwo: Taylor & Francis Rok wydania: 2011 Okładka: twarda Liczba stron: 224 Wymiary: 16.8 x 24.3 x 2 cm Język: angielski ISBN: 9781439855508