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Applications of Ranking Methods to Multiple Comparison Procedures and Factorial Experiments
Author(s) -
Shirley Eryl A. C.
Publication year - 1987
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.2307/2347552
Subject(s) - ranking (information retrieval) , statistics , mathematics , factorial experiment , factorial , information retrieval , computer science , mathematical analysis
SUMMARY Non parametric tests based on Kruskal Wallis ranks are discussed. Problems that arise in their application to multiple comparison procedures and multifactorial analyses when the null hypothesis is false are investigated. Solutions of the former are proposed which involve re‐ranking the observations within subsets of the data. A solution to the latter is proposed based on combinations of Friedman rank sums.

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