ENGLISH

Statistical Methods for Ranking Data

By Mayer Alvo , Philip L.H. Yu (auth.)

Book information

Publisher
Springer-Verlag New York
Year
2014
ISBN
978-1-4939-1470-8, 978-1-4939-1471-5
DOI
10.1007/978-1-4939-1471-5
Language
english
Format
PDF
Filesize
3 MB (3137167 bytes)
Series
Frontiers in Probability and the Statistical Sciences
Edition
1
Pages
273\276
Time added
2014-11-10 20:00:00
general; Statistics and Computing/Statistics ProgrStatistical Theory and Methods; Statistics

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.

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