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January 1, 1980Communication in Statistics- Theory and Methods968 citations

Approximations of the critical region of the fbietkan statistic

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RIRonald L. ImanJDJames M. Davenport

Key Points

  • The paper aims to evaluate new approximations for the critical region of the Friedman test statistic in a two-way layout.
  • Compared two new approximations with chi-square and F large sample approximations.
  • Focused on randomized complete block design with varying treatment and block combinations.
  • New approximations showed improved accuracy compared to the usual chi-square approximation for common (k, b) combinations.
  • Extended earlier work on the Kruskal-Wallis test to a two-way layout.

Abstract

The Friedman (1937) test for the randomized complete block design is used to test the hypothesis of no treatment effect among k treatments with b blocks. Difficulty in determination of the size of the critical region for this hypothesis is com¬pounded by the facts that (1) the most recent extension of exact tables for the distribution of the test statistic by Odeh (1977) go up only to the case with k6 and b6, and (2) the usual chi-square approximation is grossly inaccurate for most commonly used combinations of (k,b). The purpose of this paper 2 is to compare two new approximations with the usual x2 and F large sample approximations. This work represents an extension to the two-way layout of work done earlier by the authors for the one-way Kruskal-Wallis test statistic.

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Cite This Study

Iman et al. (1980) studied this question.

synapsesocial.com/papers/69dbbe928fbc15f99e6845e4https://doi.org/10.1080/03610928008827904
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