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Springer Statistical Methods for Ranking Data (Frontiers in Probability and the Statistical Sciences)

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Brand: Springer

Data Mining

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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.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 1493947818
Category: Books > Subjects > Computing & Internet > Databases > Data Storage & Management > Data Mining
Domain: Amazon UK
Release Date: 17 September 2016
Listed Since: 15 September 2016

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Springer Statistical Methods for Ranking Data (Frontiers in Probability and the Statistical Sciences)

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