Modelling Uncertainty and Overdispersion in Ordinal Data

DOI10.1080/03610926.2013.813044zbMath1287.62001OpenAlexW2060074015MaRDI QIDQ5419323

Maria Iannario

Publication date: 6 June 2014

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2013.813044

zbMATH Keywords

ordinal databeta-binomial distributionCUBE models

Mathematics Subject Classification ID

Related Items (18)

Flexible uncertainty in mixture models for ordinal responses ⋮ Treatment of `don't know' responses in a mixture model for rating data ⋮ A comprehensive framework of regression models for ordinal data ⋮ Varying uncertainty in CUB models ⋮ Cumulative and CUB Models for Rating Data: A Comparative Analysis ⋮ Modelling uncertainty and response styles in ordinal data ⋮ Uncertainty diagnostics of binomial regression trees for ordered rating data ⋮ Comparison of alternative imputation methods for ordinal data ⋮ Investigating the determinants of job satisfaction of Italian graduates: a model-based approach ⋮ A class of mixture models for multidimensional ordinal data ⋮ Identifiability of a model for discrete frequency distributions with a multidimensional parameter space ⋮ A generalized framework for modelling ordinal data ⋮ Design-Based Inference in a Mixture Model for Ordinal Variables for a Two Stage Stratified Design ⋮ Inferential Issues on CUBE Models with Covariates ⋮ Testing Overdispersion in CUBE Models ⋮ Analyzing bivariate ordinal data with CUB margins ⋮ The class of \textsc{cub} models: statistical foundations, inferential issues and empirical evidence ⋮ A model-based fuzzy analysis of questionnaires

Cites Work

• Modelling shelter choices in a class of mixture models for ordinal responses
• Estimation of parameters in the beta binomial model
• Generalization of likelihood ratio tests under nonstandard conditions
• HierarchicalCUBModels for Ordinal Variables
• On the Statistical Analysis of Ordinal Data When Extravariation is Present
• On modelling overdispersion of counts
• A Quasi-Likelihood Approach for Ordered Categorical Data with Overdispersion
• Some remarks on overdispersion
• Zero‐Altered and other Regression Models for Count Data with Added Zeros
• Linear Statistical Inference and its Applications
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