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A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling
by Phillip Good
Other Available Formats
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.
This item is Non-Returnable
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Details
- ISBN-13: 9781439855508
- ISBN-10: 1439855501
- Publisher: CRC Press
- Publish Date: August 2011
- Dimensions: 9.3 x 6.2 x 0.8 inches
- Shipping Weight: 1.15 pounds
- Page Count: 224
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