2012, ISBN: 9781118218228

eBooks, eBook Download (PDF), 1. Auflage, Provides the tools needed to successfully perform adaptive testsacross a broad range of datasets Adaptive Tests of Significance Using Permutatio… More...

eBooks, eBook Download (PDF), 1. Auflage, 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. [PU: John Wiley & Sons], Seiten: 364, John Wiley & Sons, 2012<

2012, ISBN: 9781118218228

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 illustrate… More...

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. eBook Thomas W. O'Gorman PDF, John Wiley & Sons, 13.03.2012, John Wiley & Sons, 2012<

2012, ISBN: 9781118218228

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 illustrate… More...

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. eBook Thomas W. O'Gorman 13.03.2012, John Wiley & Sons, John Wiley & Sons<

ISBN: 9781118218228

Provides the tools needed to successfully perform adaptive tests across a broad range of datasetsAdaptive Tests of Significance Using Permutations of Residuals with R and SAS illustrates … More...

Provides the tools needed to successfully perform adaptive tests across a broad range of datasetsAdaptive 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 transformationsPermutation tests with linear methodsApplications of adaptive testsMulticenter and cross-over trialsAnalysis of repeated measures dataAdaptive confidence intervals and estimatesThroughout 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.Adaptive Tests of Significance Using Permutations of Residuals with R and SAS is an insightful reference for professionals and researchers working with statistical methods across a variety of fields including the biosciences, pharmacology, and business. The book also serves as a valuable supplement for courses on regression analysis and adaptive analysis at the upper-undergraduate and graduate levels.; EPUB; Scientific, Technical and Medical > Mathematics, Wiley<

ISBN: 9781118218228

*Adaptive Tests of Significance Using Permutations of Residuals with R and SAS* / pdf eBook für 127.99 € / Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Mathematik Medien > Bücher n… More...

*Adaptive Tests of Significance Using Permutations of Residuals with R and SAS* / pdf eBook für 127.99 € / Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Mathematik Medien > Bücher nein eBook als pdf eBooks > Fachthemen & Wissenschaft > Mathematik, John Wiley & Sons<