02087nam a2200289Ia 4500 OSt 20260102093835.0 220909b |||||||| |||| 00| 0 eng d 9780470922255 Textbook CSL eng CSL eng B284 Q2;1 TB CSL O'Gorman, Thomas W. author 861100 Adaptive Tests of Significance Using Permutations of Residuals with R and SAS Hoboken : Wiley , 2012 . xvii,345p. Includes References 333-340p.; Index 341-345p. Adaptive Tests of Significance Using Permutations of Residuals with R and SAS illustrates the power of adaptive tests and showcases their ability to adjust the testing method to suit a particular set of data. The book utilizes state-of-the-art software to demonstrate the practicality and benefits for data analysis in various fields of study. Beginning with an introduction, the book moves on to explore the underlying concepts of adaptive tests, including, Smoothing methods and normalizing transformations Permutation tests with linear methods Applications of adaptive tests, Multicenter and cross-over trials, Analysis of repeated measures data Adaptive confidence intervals and estimates, Throughout the book, numerous figures illustrate the key differences among traditional tests, nonparametric tests, and adaptive tests. R and SAS software packages are used to perform the discussed techniques, and the accompanying datasets are available on the book's related website. In addition, exercises at the end of most chapters enable readers to analyze the presented datasets by putting new concepts into practice. Computer adaptive testing. 861101 R computer program language. 861102 Regression analysis. 861103 SAS computer file. 861104 Statistics. 861105 B284 Q2;1 TB TB CC 0 8322 8322 0 0 0 0 CSL CSL 2022-09-12 1053, 06/07/2012, Total Books India 0 B284 Q2;1 TB SL1558583 2022-09-12 00:00:00 2022-09-12 TB