Contents
Preface
I. Theory
1. Introduction
2. Conceptualizing uncertainty and inference
3. The probability model of uncertainty
4. The likelihood model of inference
II. Methods
5. Discrete regression models
6. Models for tabular data
7. Time series models
8. Introduction to multiple equation models
9. Models with nonrandom selection
10. General classes of multiple equation models
11. Conclusions
References
Index