Analyzing bivariate ordinal data with CUB margins
M Corduas - Statistical Modelling, 2015 - journals.sagepub.com
Statistical modelling for ordinal data has received a considerable attention in the literature,
and a consolidated theory relying on Generalized Linear Model approach has been …
and a consolidated theory relying on Generalized Linear Model approach has been …
Modelling consumer preferences for extra virgin olive oil: the italian case
The paper summarizes the results of a research project concerning Italian consumers'
preferences as regards extra virgin olive oil and, in particular, it discusses an innovative …
preferences as regards extra virgin olive oil and, in particular, it discusses an innovative …
A mixture distribution for modelling bivariate ordinal data
RHL Ip, KYK Wu - Statistical Papers, 2024 - Springer
Ordinal responses often arise from surveys which require respondents to rate items on a
Likert scale. Since most surveys contain more than one question, the data collected are …
Likert scale. Since most surveys contain more than one question, the data collected are …
[PDF][PDF] On a copula model with CUB margins
F Andreis, PA Ferrari - Quaderni di Statistica, 2013 - labstat.it
Particular emphasis has been put, lately, on the analysis of categorical data and many
proposals have appeared, ranging from pure methodological contributions to more …
proposals have appeared, ranging from pure methodological contributions to more …
A theorem on CUB models for rank data
M Iannario, D Piccolo - Statistics & Probability Letters, 2014 - Elsevier
A theorem on CUB models for rank data - ScienceDirect Skip to main contentSkip to article
Elsevier logo Journals & Books Search RegisterSign in View PDF Download full issue …
Elsevier logo Journals & Books Search RegisterSign in View PDF Download full issue …
[PDF][PDF] The cub model and its variations are restricted loglinear latent class models
The “combination of uniform and shifted binomial”(cub) model is a distribution for ordinal
variables that has received considerable recent attention and specialized development. This …
variables that has received considerable recent attention and specialized development. This …
Modelling job satisfaction of Italian graduates
S Capecchi, S Ghiselli - Advances in Latent Variables: Methods, Models …, 2015 - Springer
Different models have been implemented to observe worker conditions, abilities, leadership,
decision-making attitudes and other related concerns. This paper aims to investigate the job …
decision-making attitudes and other related concerns. This paper aims to investigate the job …
[PDF][PDF] A new paradigm for rating data models
D Piccolo - Book of short papers SIS 2018, 2018 - bancaditalia.it
Rating data arise in several disciplines and the class of Generalized Linear Models (GLM)
provides a consolidated methodology for their analysis: such structures (and a plethora of …
provides a consolidated methodology for their analysis: such structures (and a plethora of …
[HTML][HTML] Inducing a desired value of correlation between two point-scale variables
A Barbiero - ASMOD 2018 Proceedings of the International …, 2018 - books.google.com
Focusing on point-scale random variables, ie, variables whose support space is given by the
first m integers, we discuss how a desired value of Pearson's correlation can be induced …
first m integers, we discuss how a desired value of Pearson's correlation can be induced …
A proposal for the multidimensional extension of CUB models
F Andreis, PA Ferrari - Cladag 2013: 9th meeting of the classification …, 2013 - air.unimi.it
Particular emphasis has been put, lately, on the analysis of categorical data and many
proposals have appeared, ranging from pure methodological contributions to more …
proposals have appeared, ranging from pure methodological contributions to more …