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- W1565549400 abstract "Rank correlation is a fundamental tool to express dependence in case in which the data are arranged in order. There are, by contrast, circumstances where the ordinal association is of a nonlinear type. In this paper we have investigated the effectiveness of thirty measures of rank correlation for assessing agreement between two evaluators in the presence of non costant scale of terms. These measures have been divided into three classes: unweighted rank correlations, weighted rank correlations, correlations of scores. Our findings suggest that none is systematically better than the other in all circumstances. However, a simply weighted version of the Kendall’s $tau$ provides plausible answers to many special situations where intercategory distances are not the same." @default.
- W1565549400 created "2016-06-24" @default.
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- W1565549400 date "2008-09-09" @default.
- W1565549400 modified "2023-09-24" @default.
- W1565549400 title "Nonlinear Rank Correlations" @default.
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