On the Modification of the Adaptive Test for Comparing Means

Authors

  • Grzegorz Kończak Uniwersytet Ekonomiczny w Katowicach, Katedra Statystyki

DOI:

https://doi.org/10.15678/ZNUEK.2015.0940.0401

Keywords:

adaptive tests, permutation tests, comparing populations, Monte Carlo

Abstract

The paper presents a proposal of a modification of the L. Hao and D. Houser adaptive test for comparing the locations of two distributions. The modification is based on the linear combination of three test statistics. In the Hao and Houser test, due to the values of the robust asymmetry and shape characteristics, the test statistic is chosen. A method of continuous modification of the test statistic is presented. The properties of the proposed procedure are analyzed in a Monte Carlo study. The proposal could be used in quality control monitoring processes.

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References

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Sheskin D.J. [2003], Handbook of Parametric and Nonparametric Statistical Procedures, Chapman & Hall, Boca Raton.

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