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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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Lenguaje: | eng |
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John Wiley & Sons
2012
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Acceso en línea: | http://cds.cern.ch/record/1486313 |
_version_ | 1780926124951339008 |
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author | O'Gorman, Thomas W |
author_facet | O'Gorman, Thomas W |
author_sort | O'Gorman, Thomas W |
collection | CERN |
description | 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 |
id | cern-1486313 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2012 |
publisher | John Wiley & Sons |
record_format | invenio |
spelling | cern-14863132021-04-22T00:18:09Zhttp://cds.cern.ch/record/1486313engO'Gorman, Thomas WAdaptive Tests of Significance Using Permutations of Residuals with R and SASComputing and ComputersProvides 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 transformaJohn Wiley & Sonsoai:cds.cern.ch:14863132012 |
spellingShingle | Computing and Computers O'Gorman, Thomas W Adaptive Tests of Significance Using Permutations of Residuals with R and SAS |
title | Adaptive Tests of Significance Using Permutations of Residuals with R and SAS |
title_full | Adaptive Tests of Significance Using Permutations of Residuals with R and SAS |
title_fullStr | Adaptive Tests of Significance Using Permutations of Residuals with R and SAS |
title_full_unstemmed | Adaptive Tests of Significance Using Permutations of Residuals with R and SAS |
title_short | Adaptive Tests of Significance Using Permutations of Residuals with R and SAS |
title_sort | adaptive tests of significance using permutations of residuals with r and sas |
topic | Computing and Computers |
url | http://cds.cern.ch/record/1486313 |
work_keys_str_mv | AT ogormanthomasw adaptivetestsofsignificanceusingpermutationsofresidualswithrandsas |