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Ordered Regression Models

Parallel, Partial, and Non-Parallel Alternatives

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Počet strán
172 stránok
Čas čítania
7 hodin

Viac o knihe

Focusing on ordered regression models, this book delves into cumulative, stage, and adjacent classes, along with variations influenced by the parallel regression assumption. It emphasizes the benefits of using ordered regression for analyzing ordinal outcomes compared to linear and binary models. Additionally, the text provides guidance on interpreting and presenting results, supported by empirical examples from the social and behavioral sciences, making it a valuable resource for researchers in these fields.

Nákup knihy

Ordered Regression Models, Andrew S Fullerton, Jun Xu

Jazyk
Rok vydania
2016
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