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

Hoofdkenmerken

Auteur:	Fullerton, Andrew; Xu, Jun
Titel:	Ordered Regression Models Parallel, Partial, and Non-Parallel Alternatives
Uitgever:	Taylor & Francis Ltd
ISBN:	9780367737214
Serie:	Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
Land van oorsprong:	United Kingdom
Prijs:	€ 69.59
Verschijningsdatum:	18-12-2020
Bericht:	Langere levertijd (2-3 weken)

Inhoudelijke kenmerken

Categorie:

Probability & statistics

Technische kenmerken

Verschijningsvorm:	Paperback / softback
Paginas:	172
Hoogte mm.:	254
Breedte mm.:	178
Gewicht gr.:	350

Inhoud:

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