課程概述 |
I.Contents:
Topic1. Review of Basics.
Topic2. Simple and Multiple regression.
Topic3. Problems and Remedies- Normality, unequal variances, correlated errors, outliers and Influential observations, multicollinearity.
Topic4. Variable Selection Procedures.
Topic5. Applications to analysis of variance and covariance.
Topic6. Logistic Regression Analysis.
II.Course prerequisite:
III.Reference material ( textbook(s) ):
Text book: Sen Ashish and Srivastava M. (1990). Regression Analysis: Theory, Methods, and Applications. Springer
References: Rawlings, J. O. Pantula , S. G., and Dickey, D. A. (1998). Applied Regression Analysis: Research Tool. Second Edition. Springer. Rao, C. R. and Toutenburg, H. (1999). Linear Models: Least Squares and Alternatives. Second Edition. Springer.
Kleinbaum, D. G., Kupper, L. L., Muller, K. E., and Nizam, A. (1998). Applied Regression Analysis and other Multirariable Methods. Duxbury.
IV.Grading scheme:
Homework: 20%
Quiz: 20%
Midterm: 30%
Final: 30%
Project: 10%
V.Others: |