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Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives

By Andrew S. Fullerton, Jun Xu
eBook
$67.99
By Andrew S. Fullerton, Jun Xu
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Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives presents regression models for ordinal outcomes, which are variables that have ordered categories but unknown spacing between the categories. The book provides comprehensive coverage of the three major classes of ordered regression models (cumulative, stage, and adjacent) as well as variations based on the application of the parallel regression assumption.

The authors first introduce the three "parallel" ordered regr...

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