On approximate confidence intervals for measures of concordance View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1984-03

AUTHORS

Albert D. Palachek, William R. Schucany

ABSTRACT

The use ofU-statistics based on rank correlation coefficients in estimating the strength of concordance among a group of rankers is examined for cases where the null hypothesis of random rankings is not tenable. The studentizedU-statistics is asymptotically distribution-free, and the Student-t approximation is used for small and moderate sized samples. An approximate confidence interval is constructed for the strength of concordance. Monte Carlo results indicate that the Student-t approximation can be improved by estimating the degrees of freedom. More... »

PAGES

133-141

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf02294211

DOI

http://dx.doi.org/10.1007/bf02294211

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1031643773


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