Ordered regression models: parallel, partial, and non-parallel alternatives
Auteur :
Fullerton, Andrew / Xu, Jun
Éditeur :
Taylor & Francis Ltd
ISBN :
9780367737214
Date de publication :
18 déc. 2020
Dimensions :
25,4 x 17,8 cm
Poids :
453 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
This 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. It explores the advantages of ordered regression models over linear and binary regression models for the analysis of ordinal outc