Adaptive Tests of Significance Using Permutations of Residuals with R and SAS

Adaptive Tests of Significance Using Permutations of Residuals with R and SASAuthor(s): Thomas W. O'Gorman\nFormat: Hardback\nPublisher: John Wiley & Sons Inc, United States\nImprint: John Wiley & Sons Inc\nISBN-13: 9780470922255, 978-0470922255\nSynopsis\nProvides the tools needed to successfully perform adaptive tests across a broad range of datasets 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.\n\n Beginning with an introduction, the book moves on to explore the underlying concepts of adaptive tests, including:\n\nSmoothing methods and normalizing transformations\nPermutation tests with linear methods\nApplications of adaptive tests\nMulticenter and cross-over trials\nAnalysis of.