Titlebook: Statistical Methods for Ranking Data; Mayer Alvo,Philip L.H. Yu Book 2014 Springer Science+Business Media New York 2014 Block designs.Expl

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General Theory of Hypothesis Testing, In this chapter we consider a more general framework for constructing tests of hypotheses. We?begin by defining two sets of rankings: one set consists of all the rankings which are most in agreement with the observed ranking while the second set contains all the rankings which are most in agreement

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Probability Models for Ranking Data,odels for ranking data have been developed, particularly in the last decade where many new problems involving a large number of objects emerged. In their review paper on probability models for ranking data, Critchlow et?al.?(.) broadly categorized these models into four classes: (1) order statistics

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Probit Models for Ranking Data,d voters were asked to rank order all of the candidates. Candidates . and . are research psychologists, . is a community psychologist, and . and . are clinical psychologists. Among those voters, 5738 gave complete rankings. These complete rankings are considered here (Diaconis (1988)). Note that low

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Decision Tree Models for Ranking Data,specific covariates. Distance-based models discussed in Sect. . are typical examples of ranking models that are not presently designed to incorporate covariates. As these models generally assume a homogeneous population of individuals, they always give the same predicted ranking. Order statistics mo

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