A mixture model for ordinal data modelling (denoted CUB) has been recently proposed in literature. Specifically, ordinal data are represented by means of a discrete random variable which is a mixture of a Uniform and shifted Binomial random variables. This article proposes a testing procedure based on the Kullback-Leibler divergence in order to compare CUB models and detect similarities in the structure of judgements that raters express on set of items. © Springer-Verlag Berlin Heidelberg 2011.
Assessing Similarity of Rating Distributions by Kullback-Leibler Divergence / Corduas, Marcella. - Studies in Classification, Data Analysis, and Knowledge Organization,:(2011), pp. 221-228. (Intervento presentato al convegno 1st Joint Meeting of the Societe Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society, SFC-CLADAG 2008 tenutosi a Caserta, ita nel 2008) [10.1007/978-3-642-13312-1_22].
Assessing Similarity of Rating Distributions by Kullback-Leibler Divergence
CORDUAS, MARCELLA
2011
Abstract
A mixture model for ordinal data modelling (denoted CUB) has been recently proposed in literature. Specifically, ordinal data are represented by means of a discrete random variable which is a mixture of a Uniform and shifted Binomial random variables. This article proposes a testing procedure based on the Kullback-Leibler divergence in order to compare CUB models and detect similarities in the structure of judgements that raters express on set of items. © Springer-Verlag Berlin Heidelberg 2011.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
