Statistical Methods for Ranking Data (Frontiers in Probability and the Statistical Sciences)
by Mayer Alvo and Philip L.H. Yu
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Statistical Methods for Ranking Data (Frontiers in Probability and the Statistical Sciences)
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.
The book, Statistical Methods for Ranking Data (Frontiers in Probability and the Statistical Sciences) [Bulk, Wholesale, Quantity] ISBN#9781493947812 in Paperback by Mayer Alvo, Philip L.H. Yu may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
- Publisher
- Springer New York
- Authors
- Mayer Alvo, Philip L.H. Yu
- Format
- Paperback
- Published
- Sep 17, 2016
- ISBN-13
- 9781493947812
- Pages
- 273
- Printing
- Printed on demand
Statistical Methods for Ranking Data (Frontiers in Probability and the Statistical Sciences) in bulk: 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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