Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R.
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...
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| Main Author: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Somerset
Wiley
2014
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| Edition: | 1st ed |
| Series: | Wiley Series in Probability and Statistics
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| Subjects: | |
| Summary: | 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 |
| Item Description: | Description based on publisher supplied metadata and other sources |
| Physical Description: | 1 online resource (254 pages) |
| ISBN: | 9781118763476 9781119952374 |
Staff View
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| dewey-full | 519.5/4 |
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| language | English |
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| spelling | Bonnini, Stefano Verfasser aut Nonparametric Hypothesis Testing Rank and Permutation Methods with Applications in R. 1st ed Somerset Wiley 2014 © 2014 1 online resource (254 pages) txt rdacontent c rdamedia cr rdacarrier Wiley Series in Probability and Statistics Description based on publisher supplied metadata and other sources 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 Nonparametric statistics R (Computer program language) Statistical hypothesis testing Corain, Livio Sonstige oth Marozzi, Marco Sonstige oth Erscheint auch als Druck-Ausgabe Bonnini, Stefano Nonparametric Hypothesis Testing : Rank and Permutation Methods with Applications in R |
| spellingShingle | Bonnini, Stefano Nonparametric Hypothesis Testing Rank and Permutation Methods with Applications in R. Nonparametric statistics R (Computer program language) Statistical hypothesis testing |
| title | Nonparametric Hypothesis Testing Rank and Permutation Methods with Applications in R. |
| title_auth | Nonparametric Hypothesis Testing Rank and Permutation Methods with Applications in R. |
| title_exact_search | Nonparametric Hypothesis Testing Rank and Permutation Methods with Applications in R. |
| title_full | Nonparametric Hypothesis Testing Rank and Permutation Methods with Applications in R. |
| title_fullStr | Nonparametric Hypothesis Testing Rank and Permutation Methods with Applications in R. |
| title_full_unstemmed | Nonparametric Hypothesis Testing Rank and Permutation Methods with Applications in R. |
| title_short | Nonparametric Hypothesis Testing |
| title_sort | nonparametric hypothesis testing rank and permutation methods with applications in r |
| title_sub | Rank and Permutation Methods with Applications in R. |
| topic | Nonparametric statistics R (Computer program language) Statistical hypothesis testing |
| topic_facet | Nonparametric statistics R (Computer program language) Statistical hypothesis testing |
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