A Mixture Model for Longitudinal Partially Ranked Data

DOI10.1080/03610926.2013.815779zbMath1287.62014OpenAlexW2092586054MaRDI QIDQ5419320

Regina Dittrich, Reinhold Hatzinger, Les Humphreys, Brian Francis

Publication date: 6 June 2014

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://eprints.lancs.ac.uk/id/eprint/65643/1/reviesed_submission_to_ComStat.pdf

zbMATH Keywords

mixture modelBradley-Terry modelpaired comparisonslatent class modelnonparametric maximum likelihoodpartially ranked data

Mathematics Subject Classification ID

Applications of statistics to social sciences (62P25) Paired and multiple comparisons; multiple testing (62J15)

Related Items (3)

Markov models of dependence in longitudinal paired comparisons: an application to course design ⋮ Regression trees for detecting preference patterns from rank data ⋮ Subject-specific modelling of paired comparison data: A lasso-type penalty approach

Cites Work

• Modeling heterogeneity in ranked responses by nonparametric maximum likelihood: How do Europeans get their scientific knowledge?
• A mixture model for preferences data analysis
• Paired comparison, triple comparison, and ranking experiments as generalized linear models, and their implementation on GLIM
• The analysis of rank ordered preference data based on Bradley-Terry type models
• NON-NULL RANKING MODELS. I
• Analysing Partial Ranks by Using Smoothed Paired Comparison Methods: An Investigation of Value Orientation in Europe
• A General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models
• Longitudinal Data Analysis

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