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E-book

Title Permutation tests for stochastic ordering and ANOVA : theory and applications with R / by Dario Basso [and others]
Published New York ; London : Springer, ©2009

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Description 1 online resource (xiii, 217 pages) : illustrations
Series Lecture notes in statistics ; 194
Lecture notes in statistics (Springer-Verlag) ; 194.
Contents Permutation tests -- Ordinal data -- Multivariate ordinal data -- Multivariate continuous data -- Non-parametric one-way ANOVA -- Synchronized permutation tests in two-way ANOVA -- Permutation tests for unreplicated factorial designs
Summary Permutation testing for multivariate stochastic ordering and ANOVA designs is a fundamental issue in many scientific fields such as medicine, biology, pharmaceutical studies, engineering, economics, psychology, and social sciences. This book presents new advanced methods and related R codes to perform complex multivariate analyses. The prerequisites are a standard course in statistics and some background in multivariate analysis and R software. Dario Basso is a Post Doctoral Fellow at the Department of Management and Engineering of University of Padova His main research interests include permutation tests and design of experiments. Fortunato Pesarin is Full Professor of Statistics at the Department of Statistics of the University of Padova. His main research interests include nonparametric methods, bootstrap methods, and permutation tests. He has published a leading book on multivariate permutation tests based on nonparametric combination methodology. Luigi Salmaso is Associate Professor of Statistics at the Department of Management and Engineering of the University of Padova. His main research interests include permutation methods, multiple tests, and design of experiments. He has published more than 70 papers on permutation methods and design of experiments in international peer-reviewed journals. Aldo Solari is a Post Doctoral Fellow at the Department of Chemical Process Engineering of the University of Padova. His main research interest is resampling-based multiple testing methods
Bibliography Includes bibliographical references (pages 207-213) and index
Notes Print version record
Subject Permutations.
Stochastic orders.
Analysis of variance.
R (Computer program language)
Analysis of Variance
MATHEMATICS -- Probability & Statistics -- General.
Stochastic orders.
Analysis of variance.
R (Computer program language)
Permutations.
Analysis of variance
Permutations
R (Computer program language)
Stochastic orders
Randomisierter Test
Stochastische Ordnung
Variantieanalyse.
R (computerprogramma)
Form Electronic book
Author Basso, Dario.
ISBN 9780387859569
038785956X
9781282126848
9780387859552
0387859551
1282126849