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 Designs978-3-030-02914-2Series ISSN 0172-7397 Series E-ISSN 2197-568X

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Springer Series in Statisticshttp://image.papertrans.cn/r/image/821139.jpg

磨碎

https://doi.org/10.1007/978-3-030-02914-2Factorial designs; Nonparametric Statistics; Multiple contrast tests; Sample Size Planning; Nonparametri

ELUDE

Types of Data and Designs,understand why this is important. Further, readers will gain familiarity with concepts and notation of experimental design, so that they can choose appropriate designs and valid models for many typical situations themselves, or evaluate correct use by others.

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Book 2018e intervals based on pseudo-ranks.?..Offering clear explanations, an overview of the modern 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.?..?.

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LAITY

Book 2018ta, or equal variances. The general approach also allows for ordinal and even dichotomous data. The underlying effect size is the nonparametric relative effect, which has a simple and intuitive probability interpretation. The data analysis is presented as comprehensively as possible, including appro