Skip to main content
SpringerLink
Log in

Probability Models and Statistical Analyses for Ranking Data

  • Conference proceedings
  • © 1993

Overview

Editors:
  1. Michael A. Fligner

    1. Department of Statistics, The Ohio State University, Columbus, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Joseph S. Verducci

    1. Department of Statistics, The Ohio State University, Columbus, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Statistics (LNS, volume 80)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (18 papers)

  1. Front Matter

    Pages i-xxiii
    Download chapter PDF

  2. Ranking Models with Item Covariates

    1. Ranking Models with Item Covariates

      • Douglas E. Critchlow, Michael A. Fligner
      Pages 1-19

  3. Nonparametric Methods of Ranking from Paired Comparisons

    1. Nonparametric Methods of Ranking from Paired Comparisons

      • H. A. David, D. M. Andrews
      Pages 20-36

  4. On the Babington Smith Class of Models for Rankings

    1. On the Babington Smith Class of Models for Rankings

      • Harry Joe, Joseph S. Verducci
      Pages 37-52

  5. Latent Structure Models for Ranking Data

    1. Latent Structure Models for Ranking Data

      • M. A. Croon, R. Luijkx
      Pages 53-74

  6. Modelling and Analysing Paired Ranking Data

    1. Modelling and Analysing Paired Ranking Data

      • Paul D. Feigin
      Pages 75-91

  7. Maximum Likelihood Estimation in Mallows’s Model Using Partially Ranked Data

    1. Maximum Likelihood Estimation in Mallows’s Model Using Partially Ranked Data

      • Laurel A. Beckett
      Pages 92-107

  8. Extensions of Mallows’ ϕ Model

    1. Extensions of Mallows’ ϕ Model

      • Lyinn Chung, John I. Marden
      Pages 108-139

  9. Rank Correlations and the Analysis of Rank-Based Experimental Designs

    1. Rank Correlations and the Analysis of Rank-Based Experimental Designs

      • M. Alvo, P. Cabilio
      Pages 140-156

  10. Applications of Thurstonian Models to Ranking Data

    1. Applications of Thurstonian Models to Ranking Data

      • Ulf Böckenholt
      Pages 157-172

  11. Probability Models on Rankings and the Electoral Process

    1. Probability Models on Rankings and the Electoral Process

      • Hal Stern
      Pages 173-195

  12. Permutations and Regression Models

    1. Permutations and Regression Models

      • Peter McCullagh
      Pages 196-215

  13. Aggregation Theorems and the Combination of Probabilistic Rank Orders

    1. Aggregation Theorems and the Combination of Probabilistic Rank Orders

      • A. A. J. Marley
      Pages 216-240

  14. A Nonparametric Distance Model for Unidimensional Unfolding

    1. A Nonparametric Distance Model for Unidimensional Unfolding

      • Rian van Blokland-Vogelesang
      Pages 241-276

  15. Miscellanea

    1. Front Matter

      Pages 277-277
      Download chapter PDF

    2. Models on Spheres and Models for Permutations

      • Peter McCullagh
      Pages 278-283

    3. Complete Consensus and Order Independence: Relating Ranking and Choice

      • Hans Colonius
      Pages 284-288

    4. Ranking From Paired Comparisons by Minimizing Inconsistency

      • Edwin L. Crow
      Pages 289-293

    5. Graphical Techniques for Ranked Data

      • G. L. Thompson
      Pages 294-298

    6. Matched Pairs and Ranked Data

      • Peter McCullagh, Jianming Ye
      Pages 299-306
Back to top

Keywords

About this book

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.

Editors and Affiliations

  • Department of Statistics, The Ohio State University, Columbus, USA

    Michael A. Fligner, Joseph S. Verducci

Bibliographic Information

  • Book Title: Probability Models and Statistical Analyses for Ranking Data

  • Editors: Michael A. Fligner, Joseph S. Verducci

  • Series Title: Lecture Notes in Statistics

  • DOI: https://doi.org/10.1007/978-1-4612-2738-0

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York, Inc. 1993

  • Softcover ISBN: 978-0-387-97920-5Published: 05 November 1992

  • eBook ISBN: 978-1-4612-2738-0Published: 06 December 2012

  • Series ISSN: 0930-0325

  • Series E-ISSN: 2197-7186

  • Edition Number: 1

  • Number of Pages: XXIII, 306

  • Topics: Probability Theory and Stochastic Processes

Publish with us

Policies and ethics

Back to top

Search

Navigation