Statistical Methods for Ranking Data (Frontiers in Probability and the Statistical Sciences)
by Mayer Alvo and Philip L.H. Yu
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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.
Details
- Publisher
- Springer New York
- Authors
- Mayer Alvo, Philip L.H. Yu
- Format
- Hardcover
- Published
- Sep 3, 2014
- ISBN-13
- 9781493914708
- Pages
- 273
- Printing
- Printed on demand
Statistical Methods for Ranking Data (Frontiers in Probability and the Statistical Sciences) for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $123.19 | 12% off list |
| 50 – 99 | $121.79 | 13% off list |
| 100+ | $120.39 | 14% off list |
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