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

Riassunto

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

Dettagli sul prodotto

• Autori: Andrew Fullerton, Andrew S. Fullerton, Andrew S. Xu Fullerton, Fullerton Andrew S., Jun Xu, Xu Jun
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 18.12.2020
• EAN: 9780367737214
• ISBN: 978-0-367-73721-4
• Pagine: 172
• Serie: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
• Categorie: Scienze sociali, diritto, economia > Sociologia; Sociology, SOCIAL SCIENCE / Sociology / General, MATHEMATICS / Probability & Statistics / General, PSYCHOLOGY / Research & Methodology, BUSINESS & ECONOMICS / Econometrics, Economic statistics, Psychological methodology, Probability & statistics, Econometrics, Probability and statistics, Econometrics and economic statistics