The CUB model is a class of model for ordinal data obtained as a mixture distribution. It is adopted to assess the reliability of categorical measurement in several and different contexts, such as marketing and sensometrics. One of the main opportunities of this model is to include subjects\u2019 covariates in its probability structure. Motivated by the work of De Mast and Van Wieringen (2010), in this paper we propose to modify the CUB model in order to define Repeatability and Reproducibility indexes (R&R) for ordinal data in business and industry framework
Ordinal measurements as ratings, preference and evaluation data are very common in applied disciplin...
Ordinal measurements as ratings, preference and evaluation data are very common in applied disciplin...
Ordinal measurements as ratings, preference and evaluation data are very common in applied disciplin...
A mixture model (denoted CUB) for ordinal data has recently been proposed in literature. Specificall...
A mixture model (denoted CUB) for ordinal data has recently been proposed in literature. Specificall...
A mixture model for ordinal data modelling (denoted CUB) has been recently proposed in literature. S...
A mixture model for ordinal data modelling (denoted CUB) has been recently proposed in literature. S...
A mixture model for ordinal data modelling (denoted CUB) has been recently proposed in literature. S...
This paper discusses a general framework for the analysis of rating and preference data that is root...
This paper discusses a general framework for the analysis of rating and preference data that is root...
This paper discusses a general framework for the analysis of rating and preference data that is root...
An alternative approach has been proposed for the analysis and the modelling of ordinal data: it is ...
An alternative approach has been proposed for the analysis and the modelling of ordinal data: it is ...
Ordinal responses in the form of ratings arise frequently in social sciences, marketing and business...
Ordinal responses in the form of ratings arise frequently in social sciences, marketing and business...
Ordinal measurements as ratings, preference and evaluation data are very common in applied disciplin...
Ordinal measurements as ratings, preference and evaluation data are very common in applied disciplin...
Ordinal measurements as ratings, preference and evaluation data are very common in applied disciplin...
A mixture model (denoted CUB) for ordinal data has recently been proposed in literature. Specificall...
A mixture model (denoted CUB) for ordinal data has recently been proposed in literature. Specificall...
A mixture model for ordinal data modelling (denoted CUB) has been recently proposed in literature. S...
A mixture model for ordinal data modelling (denoted CUB) has been recently proposed in literature. S...
A mixture model for ordinal data modelling (denoted CUB) has been recently proposed in literature. S...
This paper discusses a general framework for the analysis of rating and preference data that is root...
This paper discusses a general framework for the analysis of rating and preference data that is root...
This paper discusses a general framework for the analysis of rating and preference data that is root...
An alternative approach has been proposed for the analysis and the modelling of ordinal data: it is ...
An alternative approach has been proposed for the analysis and the modelling of ordinal data: it is ...
Ordinal responses in the form of ratings arise frequently in social sciences, marketing and business...
Ordinal responses in the form of ratings arise frequently in social sciences, marketing and business...
Ordinal measurements as ratings, preference and evaluation data are very common in applied disciplin...
Ordinal measurements as ratings, preference and evaluation data are very common in applied disciplin...
Ordinal measurements as ratings, preference and evaluation data are very common in applied disciplin...