Hierarchical cub models are a generalization of cub models in which parameters are allowed to be random. The main feature that distinguishes such proposal from the standard one is the modeling of variation among groups. We illustrate the usefulness of these hierarchical structures by discussing model specification, inferential issues, and empirical results with reference to a real data set. Copyright © Taylor & Francis Group, LLC.
Hierarchical CUB models for ordinal variables / Iannario, Maria. - In: COMMUNICATIONS IN STATISTICS. THEORY AND METHODS. - ISSN 0361-0926. - 41:16-17(2012), pp. 3110-3125. [10.1080/03610926.2011.645987]
Hierarchical CUB models for ordinal variables
IANNARIO, MARIA
2012
Abstract
Hierarchical cub models are a generalization of cub models in which parameters are allowed to be random. The main feature that distinguishes such proposal from the standard one is the modeling of variation among groups. We illustrate the usefulness of these hierarchical structures by discussing model specification, inferential issues, and empirical results with reference to a real data set. Copyright © Taylor & Francis Group, LLC.File in questo prodotto:
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