I.Contents：
This course emphasizes on core ideas in statistics. It includes estimation, hypothesis testing, analysis of variance and linear regression. If time allows, logistic regression and errors-in-variable regression will be discussed.
1. Point Estimation
2. Hypothesis testing and interval estimation
3. Asymptotic Evaluation
4. Analysis of variance and linear regression
5. Regression models: measurement error, robustness, and logistic regression
II.Course prerequisite：
Advanced Statistical Inference (I) or equivalent
III.Reference material ( textbook(s) )：
Casella, G. and Berger, R.L. (2001). Statistical Inference. 2nd edition. Duxbury Press. （Reference）
Rice, John A. (1995). Mathematical Statistics and Data Analysis. 2nd edition. Duxbury Press.
Bickel, P.J., and Doksum, K.A. (2001). Mathematical Statistics: Basic Ideas and Selected
Topics, Vol. I. 2nd edition Prentice Hall.
Lehmann, E. L. and Casella, G. (1998). Theory of Point Estimation. 2nd Edition, SpringerGrading scheme：
IV.Others：
Homework: 20%，Quiz: 20%，Midterm: 30%，Final: 30%
Teaching Assistant: To be assigned