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Bonnini, Stefano

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

Bonnini, Stefano - Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R, ebook

79,25€

Ebook, PDF with Adobe DRM
ISBN: 9781118763476
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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.

Keywords: Computational & Graphical Statistics

Author(s)
 
 
 
Publisher
John Wiley and Sons, Inc.
Publication year
2014
Language
en
Edition
1
Series
Wiley Series in Probability and Statistics
Page amount
256 pages
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9781118763476
Printed ISBN
9781119952374

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