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Ordered Regression Models

Parallel, Partial, And Non-Parallel Alternatives

by Andrew S. Fullerton e Jun Xu
language: english
Publisher: TAYLOR & FRANCIS LTD, December of 2020 ‧
68,93€
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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

Ordered Regression Models

Parallel, Partial, And Non-Parallel Alternatives

by Andrew S. Fullerton e Jun Xu

Property Description
ISBN: 9780367737214
Publisher: TAYLOR & FRANCIS LTD
Release Date: December of 2020
Language: English
Dimensions: 178 x 254 x 20 mm
Cover: Softcover
Pages: 172
Format: Book
Collection: Chapman & Hall/Crc Statistics In The Social And Behavioral Sciences
Categories: Books in English > Social Sciences and Humanities > Sociology
EAN: 9780367737214