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Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R

Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R

Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R Hardback - 2014

by Stefano Bonnini

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Hardback. New. A novel presentation of rank and permutation tests, with accessible guidance to applications in R Nonparametric testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences.
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Details

  • Title Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R
  • Author Stefano Bonnini
  • Binding Hardback
  • Condition New
  • Pages 256
  • Volumes 1
  • Language ENG
  • Publisher Wiley
  • Publication date 2014
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # A9781119952374
  • ISBN 9781119952374 / 1119952379
  • Weight 1.05 lbs (0.48 kg)
  • Dimensions 9.1 x 6.1 x 0.7 in (23.11 x 15.49 x 1.78 cm)
  • Category Mathematics
  • Library of Congress subjects Nonparametric statistics, Statistical hypothesis testing
  • Library of Congress Catalogue Number 2014020574
  • Dewey Decimal Code 519.54
  • Quantity available 1

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Reader reviews for Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R

From the rear cover

A novel presentation of rank and permutation tests, with accessible guidance to applications in R

Nonparametric testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. This book summarizes traditional rank techniques and more recent developments in permutation testing as robust tools for dealing with complex data with low sample size.

Key Features

  • Examines the most widely used methodologies of nonparametric testing.
  • Includes extensive software codes in R featuring worked examples, and uses real case studies from both experimental and observational studies.
  • Presents and discusses solutions to the most important and frequently encountered real problems in different fields.

Features a supporting website (www.wiley.com/go/hypothesis_testing) containing all of the data sets examined in the book along with ready to use R software codes.

Nonparametric Hypothesis Testing combines an up to date overview with useful practical guidance to applications in R, and will be a valuable resource for practitioners and researchers working in a wide range of scientific fields including engineering, biostatistics, psychology and medicine.

About the author

Stefano Bonnini, Assistant Professor of Statistics, Faculty of Economics, Department of Economics, University of Ferrara, Italy.

Livio Corain, Assistant Professor of Statistics, Faculty of Engineering, Department of Management and Engineering, University of Padova, Italy.

Marco Marozzi, Associate Professor of Statistics, Faculty of Economics, Department of Economics and Statistics, University of Calabria, Italy.

Luigi Salmaso, Full Professor of Statistics, Faculty of Engineering, University of Padova, Italy.

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