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.

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• Series: Wiley Series in Probability and Statistics
• Hardcover: 240 pages
• Publisher: Wiley; 1 edition (September 22, 2014)
• Language: English
• ISBN-10: 1119952379
• ISBN-13: 978-1119952374
• Shipping Weight: 1.1 pounds
• http://www.amazon.com/Nonparametric-Hypothesis-Testing-Permutation-Applications/dp/1119952379/ref=sr_1_1?ie=UTF8&qid=1405038898&sr=8-1&keywords=Nonparametric+Hypothesis+Testing%3A+Rank+and+Permutation+Methods+with+Applications+in+R