Multiple Comparisons Using R


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Multiple Comparisons Using R


Multiple Comparisons Using R

Author: Frank Bretz

language: en

Publisher: CRC Press

Release Date: 2016-04-19


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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-pro

Multiple Comparisons


Multiple Comparisons

Author: Jason Hsu

language: en

Publisher: CRC Press

Release Date: 1996-02-01


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Multiple Comparisons introduces simultaneous statistical inference and covers the theory and techniques for all-pairwise comparisons, multiple comparisons with the best, and multiple comparisons with a control. The author describes confidence intervals methods and stepwise exposes abuses and misconceptions, and guides readers to the correct method for each problem. Discussions also include the connections with bioequivalence, drug stability, and toxicity studies Real data sets analyzed by computer software packages illustrate the applications presented.

Learning Statistics with R


Learning Statistics with R

Author: Danielle Navarro

language: en

Publisher:

Release Date: 2018


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