Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs - Using R and SAS (Hardcover, 1st ed. 2018)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Springer Series in Statistics
Release date:	July 2019
First published:	2018
Authors:	Edgar Brunner • Arne C Bathke • Frank Konietschke
Dimensions:	235 x 155 x 30mm (L x W x T)
Format:	Hardcover - Cloth over boards
Pages:	521
Edition:	1st ed. 2018
ISBN-13:	978-3-03-002912-8
Languages:	English
Subtitles:	German
Categories:	Books > Medicine > Nursing & ancillary services > Pharmacy / dispensing Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Biology, life sciences > General Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics Promotions
LSN:	3-03-002912-3
Barcode:	9783030029128

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