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Statistics - Statistical Theory and Methods | Permutation Tests for Stochastic Ordering and ANOVA - Theory and Applications with R

Permutation Tests for Stochastic Ordering and ANOVA

Theory and Applications with R

Series: Lecture Notes in Statistics, Vol. 194

Basso, D., Pesarin, F., Salmaso, L., Solari, A.

2009, XIV, 218p.

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  • Easy to understand multivariate methods for testing for a trend and for complex experimental designs
  • R functions given for all multivariate testing problems
  • Easily understandable treatment of ordinal and continuous data

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.

Content Level » Research

Keywords » ANOVA - Factorial Designs - Ordinal Data - Permutation Tests - Stochastic Ordering - statistics

Related subjects » Production & Process Engineering - Statistical Theory and Methods - Theoretical Computer Science

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