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Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
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Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs - Using R and SAS (Hardcover, 1st ed. 2018)
Loot Price: R3,713
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Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs - Using R and SAS (Hardcover, 1st ed. 2018)
Series: Springer Series in Statistics
Expected to ship within 10 - 15 working days
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This book explains how to analyze independent data from factorial
designs without having to make restrictive assumptions, such as
normality of the data, 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 appropriate
descriptive statistics which follow a nonparametric paradigm, as
well as corresponding inferential methods using hypothesis tests
and confidence 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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