Table of Contents
View Table of Contents as PDF (345KB)
Preface
1. Models
2. Statistical problems and decision theory
3. Statistical information: classical approach
4. Bayesian interpretations of sufficiency, ancillarity and identification
5. Elements of estimation theory
6. Unbiased estimation;
7. Maximum likelihood estimation;
8. M-estimation;
9. Methods of moments and their generalizations;
10. Estimation under equality constraints
11. Prediction
12. Bayesian estimation
13. Numerical procedures.
|