A Practitioner’S Guide To Resampling For Data Analysis, Data Mining, And Modeling

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.

• | Author: Phillip Good
• | Publisher: Routledge
• | Publication Date: Jun 19, 2019
• | Number of Pages: 224 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 0367382482
• | ISBN-13: 9780367382483