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

  • Um, Yonghwan (Division of Industrial and Management Engineering, Sungkyul University)
  • Received : 2018.05.23
  • Accepted : 2018.07.09
  • Published : 2018.07.31

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.

Keywords

References

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