1    models

2    Statistical problems and decision theory

3    statistical information: classical approach

4    baesian interpretations of sufficiency, ancillarity, and indentification

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