On the Moments of a Mixture of Uniform and Shifted Binomial random variables
By D. Piccolo. 2003
178 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/a081feb99c489764adc2f6ccd0e5494db7fc3f3e
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Citations in the corpus
- On the identifiability of a mixture model for ordinal data (2010, background): “In the last few years, a different approach has been introduced for explaining the behaviour of respondents when faced to a single item characterized by ordinal choices (Piccolo, 2003; D’Elia and Piccolo, 2005).”
- The importance of wine attributes for purchase decisions: A study of Italian consumers’ perception (2013, methodology): “In order to describe wine attribute ratings, we consider a statistical model based on a mixture distribution (CUB) which was introduced by Piccolo (2003) to represent ordinal data.”
- Modelling Uncertainty and Overdispersion in Ordinal Data (2014, methodology): “…of the response by means of a (mixture) Combination of a discrete Uniform and a (shifted) Binomial random variables: such a model is called cub (Piccolo, 2003; Iannario and Received October 26, 2012; Accepted June 3, 2013 Address correspondence to Maria Iannario, Department of Political…”
- A New Statistical Model for the Analysis of Customer Satisfaction (2010, background): “With only two parameters they are able to model extreme and intermediate modes, positive and negative skewness, flat and peaked behaviours, and so on (see Piccolo [34, 35] for further properties of this family of random variables).”
- Ordinal regression: A review and a taxonomy of models (2021, methodology): “In most of the approaches the model for the content-related response was specified as a shifted binomial model as proposed in one of the early articles on uncertainty mixture models (Piccolo, 2003).”