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

Provides 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...

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Detalles Bibliográficos
Autor principal: O'Gorman, Thomas W
Lenguaje:eng
Publicado: John Wiley & Sons 2012
Materias:
Acceso en línea:http://cds.cern.ch/record/1486313
Descripción
Sumario:Provides 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. Beginning with an introduction, the book moves on to explore the underlying concepts of adaptive tests, including:Smoothing methods and normalizing transforma