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Enhanced Lepage-type test statistics for location-scale shifts with right-skewed data

Author

Listed:
  • Abid Hussain
  • Michail Tsagris

Abstract

Detecting simultaneous shifts in location and scale between two populations is a common challenge in statistical inference, particularly in fields like biomedicine where right-skewed data distributions are prevalent. The classical Lepage test, which combines the Wilcoxon-Mann-Whitney and Ansari-Bradley tests, can be suboptimal under these conditions due to its restrictive assumptions of equal variances and medians. This study systematically evaluates enhanced Lepage-type test statistics that incorporate modern robust components for improved performance with right-skewed data. We combine the Fligner-Policello test and Fong-Huang variance estimator for the location component with a novel empirical variance estimator for the Ansari-Bradley scale component, relaxing assumptions of equal variances and medians. Extensive Monte Carlo simulations across exponential, gamma, chi-square, lognormal, and Weibull distributions demonstrate that tests incorporating both robust components achieve power

Suggested Citation

  • Abid Hussain & Michail Tsagris, 2026. "Enhanced Lepage-type test statistics for location-scale shifts with right-skewed data," Working Papers 2601, University of Crete, Department of Economics.
    • Handle: RePEc:crt:wpaper:2601
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    References listed on IDEAS

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    1. Amitava Mukherjee & Marco Marozzi, 2019. "A class of percentile modified Lepage-type tests," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 82(6), pages 657-689, August.
    2. Alexander Shapiro & Jos Berge, 2002. "Statistical inference of minimum rank factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 67(1), pages 79-94, March.
    3. Youyi Fong & Ying Huang, 2019. "Modified Wilcoxon–Mann–Whitney Test and Power Against Strong Null," The American Statistician, Taylor & Francis Journals, vol. 73(1), pages 43-49, January.
    4. Marco Marozzi, 2009. "Some notes on the location–scale Cucconi test," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 21(5), pages 629-647.
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    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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