Maximum Likelihood for Social Science: Strategies for Analysis

ISBN-13: 9781316636824 / Angielski / Miękka / 2018 / 324 str.

Michael D. Ward; John S. Ahlquist

Opis

Practical, example-driven introduction to maximum likelihood for the social sciences. Emphasizes computation in R, model selection and interpretation.

Recenzje

'… offer[s] an excellent text with the goal to introduce social scientists to the maximum likelihood principle in a practical way.' M. Oromaner, Choice

Spis treści

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; 6. Inference and interpretation; Part III. The Generalized Linear Model: 7. The generalized linear model; 8. Ordered categorical variable models 9. Models for nominal data; 10. Strategies for analyzing count data; Part IV. Advanced Topics: 10. Duration; 11. Strategies for missing data; Part V. A Look Ahead: 13. Epilogue; Index.