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Combining Independent Permutation p Values Associated with Mann-Whitney Test Data

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2018, 23(7), pp.99-104
  • DOI : 10.9708/jksci.2018.23.07.099
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : May 23, 2018
  • Accepted : July 9, 2018
  • Published : July 31, 2018

Yonghwan Um 1

1성결대학교

Accredited

ABSTRACT

In this paper, we compare Fisher’s continuous method with an exact discrete analog of Fisher’s continuous method from permutation tests for combining p values. The discrete analog of Fisher’s continuous method is known to be adequate for combining independent p values from discrete probability distributions. Also permutation tests are widely used as alternatives to conventional parametric tests since these tests are distribution-free, and yield discrete probability distributions and exact p values. In this paper, we obtain permutation p values from discrete probability distributions using Mann-Whitney test data sets (real data and hypothetical data) and combine p values by the exact discrete analog of Fisher’s continuous method.

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