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Keywords
Table of contents (18 papers)
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Ranking Models with Item Covariates
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Nonparametric Methods of Ranking from Paired Comparisons
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On the Babington Smith Class of Models for Rankings
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Latent Structure Models for Ranking Data
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Modelling and Analysing Paired Ranking Data
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Maximum Likelihood Estimation in Mallows’s Model Using Partially Ranked Data
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Extensions of Mallows’ ϕ Model
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Rank Correlations and the Analysis of Rank-Based Experimental Designs
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Applications of Thurstonian Models to Ranking Data
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Probability Models on Rankings and the Electoral Process
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Permutations and Regression Models
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Aggregation Theorems and the Combination of Probabilistic Rank Orders
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A Nonparametric Distance Model for Unidimensional Unfolding
Editors and Affiliations
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
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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