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Abstract Details
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Activity Number:
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656
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Type:
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Contributed
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Date/Time:
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Thursday, August 2, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Marketing
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| Abstract - #304672 |
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Title:
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A Framework for Modelling Ordinal Data in Rating Surveys
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Author(s):
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Maria Iannario*+ and Domenico Piccolo
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Companies:
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University of Naples Federico II and University of Naples Federico II
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Address:
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Dpt TEOMESUS, Naples, _, I-80138, Italy
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Keywords:
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Ordinal data ;
CUB models ;
Rating ;
Evaluation ;
Likelihood inference ;
Mixture distribution
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Abstract:
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In this paper, we generalize a mixture model proposed for ordinal data by specifying subjects' covariates for each component of the mixture. Then, the EM procedure for obtaining the maximum likelihood estimates bymeans of an effective iterative algorithmhas been derived and the asymptotic variance-covariances matrix of parameter estimators has been carried out: these results allow an asymptotically efficient inference. In this respect, we present a step-by-step algorithm in order to perform an effective programming for the implementation of a related software. In addition, we checked the usefulness of the approach by means of a real case study. Some final considerations for future developments conclude the paper.
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