Titlebook: Probability Models and Statistical Analyses for Ranking Data; Michael A. Fligner,Joseph S. Verducci Conference proceedings 1993 Springer-V

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Rank Correlations and the Analysis of Rank-Based Experimental Designss defined by Spearman and Kendall, the approach is illustrated in terms of the problem of concordance as well as the problem of testing for agreement among two or more populations of rankers. An extension of the notion of distance for incomplete permutations is shown to lead to a generalization of t

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Aggregation Theorems and the Combination of Probabilistic Rank Orders rank order. Two of the most common applications are determining a social rank order on a set of options from a set of individual rank orders on those options, and predicting (or prescribing) an individual’s overall rank order on a set of options from the rank orders on a set of component dimensions

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