Statistical Methods for Ranking Data Hardback
by Mayer Alvo, Philip L.H. Yu
Part of the Frontiers in Probability and the Statistical Sciences series
Hardback
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.
Information
-
Item not Available
- Format:Hardback
- Pages:273 pages, 60 Tables, black and white; 4 Illustrations, color; 18 Illustrations, black and white; XI
- Publisher:Springer-Verlag New York Inc.
- Publication Date:03/09/2014
- Category:
- ISBN:9781493914708
Other Formats
- PDF from £93.08
- Paperback / softback from £63.09
Information
-
Item not Available
- Format:Hardback
- Pages:273 pages, 60 Tables, black and white; 4 Illustrations, color; 18 Illustrations, black and white; XI
- Publisher:Springer-Verlag New York Inc.
- Publication Date:03/09/2014
- Category:
- ISBN:9781493914708
