Maximum likelihood for social science : strategies for analysis /
Main Authors: | , |
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Corporate Author: | |
Format: | eBook |
Language: | English |
Published: |
New York :
Cambridge University Press,
2018.
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Edition: | 1 edition. |
Series: | Analytical methods for social research
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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.