The class of CUB models: statistical foundations, inferential issues and empirical evidence
Author:
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
http://link.springer.com/content/pdf/10.1007/s10260-019-00468-8.pdf
Reference9 articles.
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2. Agresti A, Tarantola C (2018) Simple ways to interpret effects in modelling ordinal categorical data. Stat Neerl 72:210–223
3. Goodman LA (1985) The analysis of cross-classified data having ordered and/or unordered categories: association models, correlation models, and asymmetry models for contingency tables with or without missing entries. Ann Stat 13:10–69
4. McCullagh P (1980) Regression models for ordinal data. J Roy Stat Soc. B 42:109–142
5. McKelvey RD, Zavoina W (1975) A statistical model for the analysis of ordinal level dependent variables. J Math Sociol 4:103–120
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1. Inducing a desired value of correlation between two point-scale variables: a two-step procedure using copulas;AStA Advances in Statistical Analysis;2021-05-29
2. How perceived variety impacts on choice satisfaction: a two-step approach using the CUB class of models and best-subset variable selection;ELECTRON J APPL STAT;2020
3. Two‐part models for repeatedly measured ordinal data with “don't know” category;Statistics in Medicine;2020-09-09
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