Model parameters are estimated via the ‘EMM algorithm’, a hybrid of the expectation–maximization and the minorization–maximization algorithms. Examples are provided through a menu survey and through Irish election data. Results indicate mixture modeling using covariates is insightful when examining a population of judges who express preferences.
This research was funded by a Science Foundation Ireland Research Frontiers Programme Grant (06/RFP/M040). The authors would like to thank Professor Adrian Raftery, the members of the Center for Statistics and the Social Sciences and the members of the Working Group on Model-based Clustering at the University of Washington for numerous suggestions that contributed enormously to this work. The authors would also like to thank the anonymous referees for helpful suggestions that have added to the overall quality of this work.
Gormley, I.C. and Murphy, T.B. (2010), "Clustering Ranked Preference Data Using Sociodemographic Covariates", Hess, S. and Daly, A. (Ed.) Choice Modelling: The State-of-the-art and The State-of-practice, Emerald Group Publishing Limited, pp. 543-569. https://doi.org/10.1108/9781849507738-025Download as .RIS
Emerald Group Publishing Limited
Copyright © 2010 Emerald Group Publishing Limited