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

by Jun Xu and Andrew S. Fullerton

Estimate and Interpret Results from Ordered Regression Models

Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives presents regression models for ordinal outcomes, which are variables that have ordered categories but unknown spacing between the categories. The book provides comprehensive coverage of the three major classes of ordered regression models (cumulative, stage, and adjacent) as well...

• Format: Paperback
• Language: English
• ISBN: 0367737213
• ISBN13: 9780367737214
• Release Date: December 2020
• Publisher: CRC Press
• Length: 172 Pages
• Weight: 1.30 lbs.
• Dimensions: 0.5" x 7.0" x 9.9"