Statistical Methods for Ranking Data Statistical Methods for Ranking Data
Frontiers in Probability and the Statistical Sciences

Statistical Methods for Ranking Data

Mayer Alvo & Philip L.H. Yu
    • $109.99
    • $109.99

Publisher Description

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.

GENRE
Science & Nature
RELEASED
2014
September 2
LANGUAGE
EN
English
LENGTH
284
Pages
PUBLISHER
Springer New York
SELLER
Springer Nature B.V.
SIZE
4.9
MB

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