Paired comparison, triple comparison, and ranking experiments as generalized linear models, and their implementation on GLIM

DOI10.1007/BF02294488zbMath0850.62574OpenAlexW2001041658MaRDI QIDQ1205748

Michael A. Fligner, Douglas E. Critchlow

Publication date: 1 April 1993

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02294488

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to statistics (62-04) Generalized linear models (logistic models) (62J12) Paired and multiple comparisons; multiple testing (62J15)

Related Items (7)

(Psycho-)analysis of benchmark experiments: a formal framework for investigating the relationship between data sets and learning algorithms ⋮ Bayesian locally optimal design of knockout tournaments ⋮ Ties in one block comparison experiments: a generalization of the Mallows–Bradley–Terry ranking model ⋮ A Mixture Model for Longitudinal Partially Ranked Data ⋮ Dynamic paired comparison models with stochastic variances ⋮ Modeling heterogeneity in ranked responses by nonparametric maximum likelihood: How do Europeans get their scientific knowledge? ⋮ A paired comparison approach for the analysis of sets of Likert-scale responses

Uses Software

• GLIM

Cites Work

• Metric methods for analyzing partially ranked data
• The analysis of categorical data using GLIM
• NON-NULL RANKING MODELS. I
• Analysis of Categorical Data by Linear Models
• An Incomplete Contingency Table Approach to Paired-Comparison Experiments
• Log linear representation for paired and multiple comparisons models
• A Biometrics Invited Paper. Science, Statistics, and Paired Comparisons
• On Extending the Bradley-Terry Model to Incorporate Within-Pair Order Effects
• Weighted least squares response surface fitting in factorial paired comparisons
• The Analysis of Cross-Classified Data: Independence, Quasi-Independence, and Interactions in Contingency Tables with or Without Missing Entries
• An Iterative Procedure for Estimation in Contingency Tables
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