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A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling|Phillip Good

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

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Overview

Resampling methods-techniques for repeatedly resampling data to obtain results-are 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.

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Details

  • ISBN-13: 9780367382483
  • ISBN-10: 0367382482
  • Publisher: CRC Press
  • Publish Date: June 2019
  • Dimensions: 9.1 x 6 x 0.5 inches
  • Shipping Weight: 0.7 pounds
  • Page Count: 224

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