Adaptive Tests of Significance Using Permutations of Residuals with R and SAS
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Beschreibung
Provides the tools needed to successfully perform adaptive testsacross a broad range of datasets
Adaptive Tests of Significance Using Permutations of Residualswith R and SAS illustrates the power of adaptive tests andshowcases their ability to adjust the testing method to suit aparticular set of data. The book utilizes state-of-the-art softwareto demonstrate the practicality and benefits for data analysis invarious fields of study.
Beginning with an introduction, the book moves on to explore theunderlying 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 keydifferences among traditional tests, nonparametric tests, andadaptive tests. R and SAS software packages are used to perform thediscussed techniques, and the accompanying datasets are availableon the book's related website. In addition, exercises at the end ofmost chapters enable readers to analyze the presented datasets byputting new concepts into practice.
Adaptive Tests of Significance Using Permutations of Residualswith R and SAS is an insightful reference for professionals andresearchers working with statistical methods across a variety offields including the biosciences, pharmacology, and business. Thebook also serves as a valuable supplement for courses on regressionanalysis and adaptive analysis at the upper-undergraduate andgraduate levels.
Autor*in
Thomas W. O'Gorman
Themen in »Adaptive Tests of Significance Using Permutations of Residuals with R and SAS«
Biostatistics Biostatistik Finanz- u. Wirtschaftsstatistik Regression Analysis Regressionsanalyse Statistics Statistics for Finance, Business & Economics Statistik
Stimmen zu »Adaptive Tests of Significance Using Permutations of Residuals with R and SAS«
"Each chapter provides detailed information on R and SAScode, respectively. Moreover, each chapter closes with illustratingexercises (without solutions). This is ideal for researchers whowish to implement anadaptive test of significance for theirspecific problem." (Biometrical Journal, 1 May2013)
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