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Comments on the paper ‘Type I error and test power of different tests for testing interaction effects in factorial experiments’ by M. Mendes and S. Yigit (Statistica Neerlandica, 2013, pp. 1–26)

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  • Edgar Brunner
  • Madan L. Puri

Abstract

We give some comments on the paper by Mendes and Yigit where some misleading statements on rank tests have been given. Also, we give some additional important references on the same topic, which are not cited in this paper. By extending the simulations presented in the Mendes and Yigit paper to larger and unequal sample sizes, we demonstrate that the main conclusions are misleading.

Suggested Citation

  • Edgar Brunner & Madan L. Puri, 2013. "Comments on the paper ‘Type I error and test power of different tests for testing interaction effects in factorial experiments’ by M. Mendes and S. Yigit (Statistica Neerlandica, 2013, pp. 1–26)," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 67(4), pages 390-396, November.
    • Handle: RePEc:bla:stanee:v:67:y:2013:i:4:p:390-396
    DOI: 10.1111/stan.12012
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    References listed on IDEAS

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    1. Gao, Xin & Alvo, Mayer, 2005. "A Unified Nonparametric Approach for Unbalanced Factorial Designs," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 926-941, September.
    2. Edgar Brunner & Madan Puri, 2001. "Nonparametric methods in factorial designs," Statistical Papers, Springer, vol. 42(1), pages 1-52, January.
    3. H. Keselman & K. Carriere & Lisa Lix, 1995. "Robust and powerful nonorthogonal analyses," Psychometrika, Springer;The Psychometric Society, vol. 60(3), pages 395-418, September.
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