The Analysis of Ranked Data Derived from Completely Randomized Factorial Designs

1976/06/01 by C. James Scheirer, William S. Ray, Nathan Hare · 4 citations
Decision Sciences · Mathematics · #Optimal Experimental Design Methods #Advanced Statistical Process Monitoring #Statistical Methods in Clinical Trials

paper · doi:10.2307/2529511

openalex publication_date 1976/06/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/11

Abstract

This paper presents a method for the analysis of ranked data arising from completely randomized factorial designs. The procedure, which is an extension of the Kruskal-Wallis ranks test, allows for the calculation of interaction effects and linear contrasts. A Monte Carlo study of the convergence of the test and a worked example are presented.

Citations

• Multiple Comparisons Using Rank Sums
• Use of Ranks in One-Criterion Variance Analysis
• A Rank Sum Test for Comparing All Pairs of Treatments

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