Ordinal Regression
Wiley series in probability and statistics2005pp. 235–266
Abstract
This chapter contains sections titled: Aspects and assumptions of ordinal data models Latent scale and data augmentation Assessing model assumptions: non-parametric ordinal regression and assessing ordinality Location-scale ordinal regression Structural interpretations with aggregated ordinal data Log-linear models for contingency tables with ordered categories Multivariate ordered outcomes Exercises References
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