Ordered Regression Models is popular PDF and ePub book, written by Andrew S. Fullerton in 2016-04-21, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Ordered Regression Models can be Read Online from any device for your convenience.

Ordered Regression Models Book PDF Summary

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 as variations based on the application of the parallel regression assumption. The authors first introduce the three "parallel" ordered regression models before covering unconstrained partial, constrained partial, and nonparallel models. They then review existing tests for the parallel regression assumption, propose new variations of several tests, and discuss important practical concerns related to tests of the parallel regression assumption. The book also describes extensions of ordered regression models, including heterogeneous choice models, multilevel ordered models, and the Bayesian approach to ordered regression models. Some chapters include brief examples using Stata and R. This book offers a conceptual framework for understanding ordered regression models based on the probability of interest and the application of the parallel regression assumption. It demonstrates the usefulness of numerous modeling alternatives, showing you how to select the most appropriate model given the type of ordinal outcome and restrictiveness of the parallel assumption for each variable. Web Resource More detailed examples are available on a supplementary website. The site also contains JAGS, R, and Stata codes to estimate the models along with syntax to reproduce the results.

Detail Book of Ordered Regression Models PDF

Ordered Regression Models
  • Author : Andrew S. Fullerton
  • Release : 21 April 2016
  • Publisher : CRC Press
  • ISBN : 9781466569744
  • Genre : Mathematics
  • Total Page : 184 pages
  • Language : English
  • PDF File Size : 9,6 Mb

If you're still pondering over how to secure a PDF or EPUB version of the book Ordered Regression Models by Andrew S. Fullerton, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.

Get Book

Ordered Regression Models

Ordered Regression Models Author : Andrew S. Fullerton,Jun Xu
Publisher : CRC Press
File Size : 20,8 Mb
Get Book
Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives presents regression mode...

Logistic Regression Models

Logistic Regression Models Author : Joseph M. Hilbe
Publisher : CRC Press
File Size : 14,7 Mb
Get Book
Logistic Regression Models presents an overview of the full range of logistic models, including bina...

Ordinal Data Modeling

Ordinal Data Modeling Author : Valen E. Johnson,James H. Albert
Publisher : Springer Science & Business Media
File Size : 8,7 Mb
Get Book
Ordinal Data Modeling is a comprehensive treatment of ordinal data models from both likelihood and B...

Logistic Regression

Logistic Regression Author : David G. Kleinbaum
Publisher : Springer Science & Business Media
File Size : 41,7 Mb
Get Book
This text on logistic regression methods contains the following eight chapters: 1 Introduction to Lo...

Regression Modeling Strategies

Regression Modeling Strategies Author : Frank E. Harrell , Jr.
Publisher : Springer
File Size : 32,5 Mb
Get Book
This highly anticipated second edition features new chapters and sections, 225 new references, and c...

Logistic Regression

Logistic Regression Author : Scott Menard
Publisher : SAGE Publications
File Size : 48,9 Mb
Get Book
In this text, author Scott Menard provides coverage of not only the basic logistic regression model ...