In this article we discuss the identifiability of a probability model which has been proven useful for capturing the main features of ordinal data generated by rating surveys. Specifically, we show that the mixture of a shifted Binomial and a Uniform discrete distribution is identifiable when the number of categories is greater than three
Abstract. The concept of the identifiability of mixtures of distributions is discussed and a suffici...
In several applied disciplines, as Economics, Marketing, Business, Sociology, Psychology, Political ...
This article presents a testing procedure for comparing ordinal data distributions which helps the i...
In this article we discuss the identifiability of a probability model which has been proven useful f...
A mixture model (denoted CUB) for ordinal data has recently been proposed in literature. Specificall...
This paper is concerned with the identifiability of models depending on a multidimensional parameter...
In this paper, we propose preliminary estimators for the parameters of a mixture distribution introd...
A mixture model for ordinal data modelling (denoted CUB) has been recently proposed in literature. S...
The paper describes a mixture distribution generated by Beta Binomial and Uniform random variables t...
A mixture model for ordinal data modelling (denoted CUB) has been recently proposed in literature. S...
In this article we introduce a probability distribution generated by a mixture of discrete random va...
In rating surveys, people are requested to express preferences on several aspects related to a topic...
We consider representations of a joint distribution law of a family of categorical random ...
In this paper we study the indentifiability of a class of mixture models where a finite number of o...
In CUB models the uncertainty of choice is explicitly modelled as a Combination of discrete Uniform ...
Abstract. The concept of the identifiability of mixtures of distributions is discussed and a suffici...
In several applied disciplines, as Economics, Marketing, Business, Sociology, Psychology, Political ...
This article presents a testing procedure for comparing ordinal data distributions which helps the i...
In this article we discuss the identifiability of a probability model which has been proven useful f...
A mixture model (denoted CUB) for ordinal data has recently been proposed in literature. Specificall...
This paper is concerned with the identifiability of models depending on a multidimensional parameter...
In this paper, we propose preliminary estimators for the parameters of a mixture distribution introd...
A mixture model for ordinal data modelling (denoted CUB) has been recently proposed in literature. S...
The paper describes a mixture distribution generated by Beta Binomial and Uniform random variables t...
A mixture model for ordinal data modelling (denoted CUB) has been recently proposed in literature. S...
In this article we introduce a probability distribution generated by a mixture of discrete random va...
In rating surveys, people are requested to express preferences on several aspects related to a topic...
We consider representations of a joint distribution law of a family of categorical random ...
In this paper we study the indentifiability of a class of mixture models where a finite number of o...
In CUB models the uncertainty of choice is explicitly modelled as a Combination of discrete Uniform ...
Abstract. The concept of the identifiability of mixtures of distributions is discussed and a suffici...
In several applied disciplines, as Economics, Marketing, Business, Sociology, Psychology, Political ...
This article presents a testing procedure for comparing ordinal data distributions which helps the i...
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