Titlebook: Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs; Using R and SAS Edgar Brunner,Arne C. Bathke,Frank Konie

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Rank and Pseudo-Rank Procedures for Independent Observations in Factorial DesignsUsing R and SAS

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imedia into specific topics that collectively encompass the foundations, technologies, applications, and emerging elements of this exciting field...The intended audience of the .Encyclopedia of Multimedia. is technically diverse and wide; it includes everyone concerned with multimedia systems and th

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Two Samples,here are valid for data with or without ties, specifically for continuous, quantitative data, count data, ordinal data, and even binary (dichotomous) data. Real data examples illustrate each of these cases. The corresponding data analyses are demonstrated using R and SAS. In the subsequent Chap. .,

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Several Samples,y of a new drug is compared to placebo and to an existing standard drug (gold standard design). In this section, several of the results for .?=?2 are being generalized to .?>?2 samples. In addition, tests for patterned alternatives, as well as multiple comparisons and simultaneous confidence interva

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Two-Factor Crossed Designs,ral software considered in the preceding Sect. 5.5. We also consider procedures using stratified rankings in Sect. 5.7, and we demonstrate problems related to the non-transitivity of the relative effects if stratified ranks are used. Further, some issues regarding the well-known van Elteren test (Va

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0172-7397 n rank- and pseudo-rank-based inference methodology and numerous illustrations with real data examples, as well as the necessary R/SAS code to run the statistical analyses, this book is a valuable resource for statisticians and practitioners alike.?..?.978-3-030-02914-2Series ISSN 0172-7397 Series E-ISSN 2197-568X

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