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Combining Independent Permutation p-Values Associated with Multi-Sample Location Test Data

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2020, 25(7), pp.175-182
  • DOI : 10.9708/jksci.2020.25.07.175
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : May 6, 2020
  • Accepted : July 17, 2020
  • Published : July 31, 2020

Yonghwan Um 1

1성결대학교

Accredited

ABSTRACT

Fisher’s classical method for combining independent p-values from continuous distributions is widely used but it is known to be inadequate for combining p-values from discrete probability distributions. Instead, the discrete analog of Fisher’s classical method is used as an alternative for combining p-values from discrete distributions. In this paper, firstly we obtain p-values from discrete probability distributions associated with multi-sample location test data (Fisher-Pitman test and Kruskall-Wallis test data) by permutation method, and secondly combine the permutaion p-values by the discrete analog of Fisher’s classical method. And we finally compare the combined p-values from both the discrete analog of Fisher’s classical method and Fisher’s classical method

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