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2023, Vol. 8, Issue 1, Part B

Location and scale testing in a mixed design


Author(s): Fouad Khalawi and Rhonda C Magel

Abstract: There are several situations in scientific research where the researcher is interested in either changes in means or variances if new treatments are applied and compared to a control. Recently, Khalawi and Magel proposed and compared nonparametric tests for the simple tree alternative for testing differences in means or variances in a mixed design (completely randomized (CRD) and a randomized complete block (RCBD)) under symmetric distributions. However, there are times in which the data come from a right-tailed skewed distribution. In this paper, we estimate and compare these nonparametric tests under an asymmetric distribution via Monte Carlo simulation.

DOI: 10.22271/maths.2023.v8.i1b.933

Pages: 88-94 | Views: 278 | Downloads: 19

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International Journal of Statistics and Applied Mathematics
How to cite this article:
Fouad Khalawi, Rhonda C Magel. Location and scale testing in a mixed design. Int J Stat Appl Math 2023;8(1):88-94. DOI: 10.22271/maths.2023.v8.i1b.933

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