Maximum likelihood for social science : strategies for analysis /

Bibliographic Details
Main Authors: Ward, Michael Don, 1948- (Author), Ahlquist, John S. (Author)
Corporate Author: Cambridge University Press
Format: eBook
Language:English
Published: New York : Cambridge University Press, 2018.
Edition:1 edition.
Series:Analytical methods for social research
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Machine generated contents note: Part I. Concepts, Theory, and Implementation: 1. Introduction to maximum likelihood; 2. Theory; 3. Maximum likelihood for binary outcomes; 4. Implementing MLE; Part II. Model Evaluation and Interpretation: 5. Model evaluation and selection; Part III. The Generalized Linear Model: 6. Model evaluation and selection; Part III. The Generalized Linear Model: 7. Ordered categorical variable models; 8. Models for nominal data; 9. Strategies for analyzing count data; Part IV. Advanced Topics: 10. Duration; 11. Strategies for missing data; Part V.A Look Ahead: 13. Epilogue; Index.