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Conservativeness of global tests for bivariate binomial and Poisson data

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  • Krummenauer, Frank

Abstract

The global tests of Bonferroni, Rüger, Hommel and Simes are compared concerning deviation between actual and nominal significance level, when individual hypotheses are tested via sign, Fisher or Poisson tests. Despite remarkable conservativeness due to discreteness the results confirm applicability of Simes-based multiple test procedures to discrete data.

Suggested Citation

  • Krummenauer, Frank, 1999. "Conservativeness of global tests for bivariate binomial and Poisson data," Statistics & Probability Letters, Elsevier, vol. 41(4), pages 407-412, February.
    • Handle: RePEc:eee:stapro:v:41:y:1999:i:4:p:407-412
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    References listed on IDEAS

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    1. G. Hommel, 1986. "Multiple test procedures for arbitrary dependence structures," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 33(1), pages 321-336, December.
    2. Krummenauer, Frank, 1998. "Representation of multivariate discrete distributions by probability generating functions," Statistics & Probability Letters, Elsevier, vol. 39(4), pages 327-331, August.
    3. Krummenauer, Frank, 1999. "A note on Rüger's test for discrete data," Statistics & Probability Letters, Elsevier, vol. 41(4), pages 347-351, February.
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