Probability Models and Statistical Analyses for Ranking Data

Probability Models and Statistical Analyses for Ranking Data
Author :
Publisher : Springer Science & Business Media
Total Pages : 330
Release :
ISBN-10 : 9781461227380
ISBN-13 : 1461227380
Rating : 4/5 (380 Downloads)

Book Synopsis Probability Models and Statistical Analyses for Ranking Data by : Michael A. Fligner

Download or read book Probability Models and Statistical Analyses for Ranking Data written by Michael A. Fligner and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: In June of 1990, a conference was held on Probablity Models and Statisti cal Analyses for Ranking Data, under the joint auspices of the American Mathematical Society, the Institute for Mathematical Statistics, and the Society of Industrial and Applied Mathematicians. The conference took place at the University of Massachusetts, Amherst, and was attended by 36 participants, including statisticians, mathematicians, psychologists and sociologists from the United States, Canada, Israel, Italy, and The Nether lands. There were 18 presentations on a wide variety of topics involving ranking data. This volume is a collection of 14 of these presentations, as well as 5 miscellaneous papers that were contributed by conference participants. We would like to thank Carole Kohanski, summer program coordinator for the American Mathematical Society, for her assistance in arranging the conference; M. Steigerwald for preparing the manuscripts for publication; Martin Gilchrist at Springer-Verlag for editorial advice; and Persi Diaconis for contributing the Foreword. Special thanks go to the anonymous referees for their careful readings and constructive comments. Finally, we thank the National Science Foundation for their sponsorship of the AMS-IMS-SIAM Joint Summer Programs. Contents Preface vii Conference Participants xiii Foreword xvii 1 Ranking Models with Item Covariates 1 D. E. Critchlow and M. A. Fligner 1. 1 Introduction. . . . . . . . . . . . . . . 1 1. 2 Basic Ranking Models and Their Parameters 2 1. 3 Ranking Models with Covariates 8 1. 4 Estimation 9 1. 5 Example. 11 1. 6 Discussion. 14 1. 7 Appendix . 15 1. 8 References.


Probability Models and Statistical Analyses for Ranking Data Related Books

Probability Models and Statistical Analyses for Ranking Data
Language: en
Pages: 330
Authors: Michael A. Fligner
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

In June of 1990, a conference was held on Probablity Models and Statisti cal Analyses for Ranking Data, under the joint auspices of the American Mathematical So
Analyzing and Modeling Rank Data
Language: en
Pages: 345
Authors: John I Marden
Categories: Mathematics
Type: BOOK - Published: 2014-01-23 - Publisher: CRC Press

DOWNLOAD EBOOK

This book is the first single source volume to fully address this prevalent practice in both its analytical and modeling aspects. The information discussed pres
Statistical Methods for Ranking Data
Language: en
Pages: 276
Authors: Mayer Alvo
Categories: Mathematics
Type: BOOK - Published: 2014-09-02 - Publisher: Springer

DOWNLOAD EBOOK

This book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data. An important aspect of nonparametric s
The Statistical Analysis of Failure Time Data
Language: en
Pages: 462
Authors: John D. Kalbfleisch
Categories: Mathematics
Type: BOOK - Published: 2011-01-25 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Contains additional discussion and examples on left truncationas well as material on more general censoring and truncationpatterns. Introduces the martingale an
Stochastic Epidemic Models and Their Statistical Analysis
Language: en
Pages: 140
Authors: Hakan Andersson
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

The present lecture notes describe stochastic epidemic models and methods for their statistical analysis. Our aim is to present ideas for such models, and metho