Comparison of alternative imputation methods for ordinal data
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Publication:2965574
DOI10.1080/03610918.2014.963611zbMath1360.62018OpenAlexW2006941184MaRDI QIDQ2965574
Federica Cugnata, Silvia Salini
Publication date: 3 March 2017
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/2434/238988
missing dataCUB modelssingle imputationcombination of uniform and (shifted) binomial random variable (CUB)multivariate approaches
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Related Items (3)
A comprehensive framework of regression models for ordinal data ⋮ Cumulative and CUB Models for Rating Data: A Comparative Analysis ⋮ The class of \textsc{cub} models: statistical foundations, inferential issues and empirical evidence
Cites Work
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- Number of moduli of irreducible families of plane curves with nodes and cusps
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- A mixture model for preferences data analysis
- Missing data imputation, matching and other applications of random recursive partitioning
- Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables
- Modelling Uncertainty and Overdispersion in Ordinal Data
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