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  • 标题:Adaptive Nonparametric Tests for the Generalized Behrens-Fisher Problem
  • 本地全文:下载
  • 作者:Uttam Bandyopadhyay ; Atanu Biswas ; Dhiman Dutta
  • 期刊名称:Austrian Journal of Statistics
  • 出版年度:2010
  • 卷号:39
  • 期号:04
  • 出版社:Austrian Statistical Society
  • 摘要:

    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.

  • 关键词:Adaptive Test Procedures; Modified Wilcoxon-Mann-Whitney Test, Modified Mood’s Median Test, Triples Test, Deterministic Approach,Probabilistic Approach, p-Value
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