In this paper we present two statistical approaches for discussing and modelling job satisfaction based on data collected in the Survey on Household Income and Wealth (SHIW) conducted by the Bank of Italy. In particular, we compare two different classes of model for ordinal data: the Ordinal...

CUB models represent a new approach for the analysis of categorical ordinal data. The relevant domain of study is the specification and estimation of the behaviour of respondents when faced to ratings by analysing the relationship among ordinal scores and observed covariates. The increasing use...

We prove a theorem concerning the parameters of the cub  mixture distribution when this random variable is applied for modelling rank data by assuming that the cub  distribution is true for each marginal random variable originated by ordering m objects.

A statistical approach for modelling job satisfaction stemming from the surveys on graduates’ employment conditions collected by AlmaLaurea is presented. Graduates have been interviewed about their employment conditions 1, 3 and 5 years after the time of degree. The focus of the survey is to...

In the food industry, sensory analysis can be useful to direct marketing decisions concerning not only products, for example product positioning with respect to competitors, but also market segmentation, customer relationship management, advertising strategies and price policies. In this paper...

The paper proposes a latent class version of Combination of Uniform and (shifted) Binomial random variables ( <Emphasis FontCategory="NonProportional">CUB ) models for ordinal data to account for unobserved heterogeneity. The extension, called  <Emphasis FontCategory="NonProportional">LC-CUB , is useful when the heterogeneity is originated by clusters of respondents not...</emphasis></emphasis>

In this paper we discuss the use of dummy variables as sensible covariates in a class of statistical models which aim at explaining the subjects’ preferences with respect to several items. After a brief introduction to CUB models, the work considers statistical interpretations of dummy...