This book introduces advanced undergraduate, graduate students and
practitioners to statistical methods for ranking data. An important
aspect of nonparametric statistics is oriented towards the use of
ranking data. Rank correlation is defined through the notion of
distance functions and the notion of compatibility is introduced to
deal with incomplete data. Ranking data are also modeled using a
variety of modern tools such as CART, MCMC, EM algorithm and factor
analysis. This book deals with statistical methods used for
analyzing such data and provides a novel and unifying approach for
hypotheses testing. The techniques described in the book are
illustrated with examples and the statistical software is provided
on the authors' website.
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