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https://doi.org/10.1080/03610928008827904

has been cited by the following article:

• TITLE: Adjustments for Kurtosis and Continuity on the Prentice Test

  AUTHORS: Lily Gebhart, John Kolassa

  KEYWORDS: Friedman Test, Prentice Test, Edgeworth Approximation

  JOURNAL NAME: Advances in Pure Mathematics, Vol.14 No.2, February 29, 2024

  ABSTRACT: The test of Prentice [1] is a non-parametric statistical test for the two-way analysis of variance using ranks. The null distribution of this test typically is approximated using the Chi-square distribution. However, the exact null distribution deviates from the Chi-square approximation in certain cases commonly found in applications of the test, motivating adjustments to the distribution. This manuscript presents adjustments to this null distribution correcting for continuity, multivariate skewness, and multivariate kurtosis. The effects of alternative scoring methods as non-polynomial functions of rank sums are also presented as a broader application of the approximation.