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Original Articles

Modelling Uncertainty and Overdispersion in Ordinal Data

Pages 771-786 | Received 26 Oct 2012, Accepted 03 Jun 2013, Published online: 27 Jan 2014
 

Abstract

In this article we introduce a probability distribution generated by a mixture of discrete random variables to capture uncertainty, feeling, and overdispersion, possibly present in ordinal data surveys. The choice of the components of the new model is motivated by a study on the data generating process. Inferential issues concerning the maximum likelihood estimates and the validation steps are presented; then, some empirical analyses are given to support the usefulness of the approach. Discussion on further extensions of the model ends the article.

Mathematics Subject Classification:

Acknowledgments

The author thanks the Associate Editor and referees for their constructive comments and insightful suggestions.

Notes

Color versions of one or more of the figures in the article can be found online at www.tandfonline.com/lsta.

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