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Nonparametric Statistical Tests : A Computational Approach / by Markus Neuhauser

By: Material type: TextTextLanguage: English Publication details: London : CRC , 2012 .Description: xvii,229pISBN:
  • 9781439867037
Subject(s): Other classification:
  • B28 Q2 TB
Summary: Nonparametric Statistical Tests: A Computational Approach describes classical nonparametric tests, as well as novel and little-known methods such as the Baumgartner-Weiss-Schindler and the Cucconi tests. The book presents SAS and R programs, allowing readers to carry out the different statistical methods, such as permutation and bootstrap tests. The author considers example data sets in each chapter to illustrate methods. Numerous real-life data from various areas, including the bible, and their analyses provide for greatly diversified reading.
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Item type Current library Home library Call number Status Barcode
Textual Textual Central Science Library Central Science Library B28 Q2 TB (Browse shelf(Opens below)) Available SL1558512

Included Bibliography 203-226p.; Index 227-229p.

Nonparametric Statistical Tests: A Computational Approach describes classical nonparametric tests, as well as novel and little-known methods such as the Baumgartner-Weiss-Schindler and the Cucconi tests. The book presents SAS and R programs, allowing readers to carry out the different statistical methods, such as permutation and bootstrap tests. The author considers example data sets in each chapter to illustrate methods. Numerous real-life data from various areas, including the bible, and their analyses provide for greatly diversified reading.

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