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Multiple Comparisons Using R

Frank Bretz, Torsten Hothorn, Peter Westfall




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 | #1275874 in Books |  2010-07-27 | Original language:English | PDF # 1 |  9.21 x.50 x6.14l,.98 | File type: PDF | 205 pages

||12 of 12 people found the following review helpful.| Now we can do multiple testing in R and not just SAS|By Michael R. Chernick|This short text deals with multiple comparisons from the classical approach as given in Miller's Simultaneous Statistical Inference as well as the more recent text by Hsu's Multiple Comparisons (1996). It also covers modern approaches for adjusting p-values such as bootstrap and permutation resamplin| ||The book is primarily targeted at practitioners who will find the illustrative examples utilizing real data helpful. Methodologically interested readers are provided with interesting concepts and a good survey on multiple comparisons literature in the bibliog

Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. It also presents a detailed description of available software implementations in R. The R packages and source code for the analyses are available at http://CRAN.R-project.org

After giving examples of multiplicity problems, the book covers general concepts ...

You easily download any file type for your gadget.Multiple Comparisons Using R   |  Frank Bretz, Torsten Hothorn, Peter Westfall.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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