Adaptive Nonparametric Tests for the Generalized Behrens-Fisher Problem

Authors

  • Uttam Bandyopadhyay Department of Statistics, University of Calcutta, India
  • Atanu Biswas Applied Statistics Unit, Indian Statistical Institute, Kolkata, India
  • Dhiman Dutta Department of Statistics, University of Calcutta, India

DOI:

https://doi.org/10.17713/ajs.v39i4.252

Abstract

Some adaptive test procedures are developed for the generalized Behrens-Fisher problem. The one having a deterministic approach is based on calculating a measure of symmetry from each sample and using them as a basis for choosing between the modifiedWilcoxon-Mann-Whitney test (Fligner and Policello, 1981) and the modified Mood’s median test (Fligner and Rust, 1982). The other one is a probabilistic approach which also uses a combination of the modified Wilcoxon-Mann-Whitney test and the modified Mood’s
median test according to an evidence of asymmetry provided by the p-value from the triples test for symmetry given in Randles, Fligner, Policello, and Wolfe (1980). This probabilistic approach is further modified by using a suitable function of the p-value from the triples test. A simulation study reveals that the modified procedure performs reasonably well in terms of power and attainment of the nominal size.

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Published

2016-02-24

How to Cite

Bandyopadhyay, U., Biswas, A., & Dutta, D. (2016). Adaptive Nonparametric Tests for the Generalized Behrens-Fisher Problem. Austrian Journal of Statistics, 39(4), 309–328. https://doi.org/10.17713/ajs.v39i4.252

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