Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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The Comparative Power Evaluation of Parametric Versus Nonparametric Methods

  • Choi, Young-Hun (Associate Professor, Department of Statistics, Hanshin University)
  • Published : 1996.12.01
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Abstract

The simulation study shows that the rank transform test has relatively superior power advantages over the parametric analysis of variance test in many cases for a $2^3$ factorial design, particularly with heavy-tailed distributions of the error terms. However the rank transform test should be cautiously used when all main effects and interactions related to a testing effect are possibly present at the same time.

Keywords

References

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