Add to ORKGThe rating problem arises very often in statistical surveys, where respondents are asked to evaluate several topics of interest (products, services, treatments, etc.). In this framework, a new approach is represented by a class of mixture models (Covariates in the mixture of Uniform and shifted Binomial distributions, CUB models), proposed by Piccolo (2003), D\u2019Elia and Piccolo (2005) and Piccolo (2006). Together with parametric inference, a permutation solution to test for covariates effects, when a univariate response is considered, has been discussed in Bonnini et al. (2011), where the method has been proved to be well performing and competitive with respect to the asymptotic solution. In the present work we perform an extension of t...
In literature, a mixture distribution, named CUB, for ordinal data has been recently proposed. The u...
This paper presents a generalization of a mixture model used for the analysis of ratings and prefere...
Ordinal measurements as ratings, preference and evaluation data are very common in applied disciplin...
The Cub model and the permutation test on covariates of this model were applied to evaluate the cust...
In statistical surveys, people are often asked to express evaluations on several topics or to make a...
Abstract In statistical surveys, respondents are often asked to express evaluations on several topic...
A mixture model (denoted CUB) for ordinal data has recently been proposed in literature. Specificall...
This paper discusses a general framework for the analysis of rating and preference data that is root...
In this article, we present the command cub, which fits ordinal rating data using combination of uni...
The rating problem arises very often in statistical surveys and a new approach for this problem is r...
D'Elia and Piccolo (2005) have recently proposed a mixture distribution, named CUB, for ordinal data...
In rating surveys, people are requested to express preferences on several aspects related to a topic...
D'Elia and Piccolo (2005) have recently proposed a mixture distribution, named CUB, for ordinal data...
The paper introduces a new technique for growing trees for ordinal responses in the model-based fram...
In literature, a mixture distribution, named CUB, for ordinal data has been recently proposed. The u...
This paper presents a generalization of a mixture model used for the analysis of ratings and prefere...
Ordinal measurements as ratings, preference and evaluation data are very common in applied disciplin...
The Cub model and the permutation test on covariates of this model were applied to evaluate the cust...
In statistical surveys, people are often asked to express evaluations on several topics or to make a...
Abstract In statistical surveys, respondents are often asked to express evaluations on several topic...
A mixture model (denoted CUB) for ordinal data has recently been proposed in literature. Specificall...
This paper discusses a general framework for the analysis of rating and preference data that is root...
In this article, we present the command cub, which fits ordinal rating data using combination of uni...
The rating problem arises very often in statistical surveys and a new approach for this problem is r...
D'Elia and Piccolo (2005) have recently proposed a mixture distribution, named CUB, for ordinal data...
In rating surveys, people are requested to express preferences on several aspects related to a topic...
D'Elia and Piccolo (2005) have recently proposed a mixture distribution, named CUB, for ordinal data...
The paper introduces a new technique for growing trees for ordinal responses in the model-based fram...
In literature, a mixture distribution, named CUB, for ordinal data has been recently proposed. The u...
This paper presents a generalization of a mixture model used for the analysis of ratings and prefere...
Ordinal measurements as ratings, preference and evaluation data are very common in applied disciplin...