Linear Regression (迴歸分析) Reference: 1. Seber, G. A. F. (1977). Linear Regression Analysis. Wiley. 2. Sen, A. and Srivastava, M. (1990). Regression Analysis: Theory, Methods, and Applications. Springer. 3. Rao, C. R. and Toutenburg, H. (1999). Linear Models: Least Squares and Alternatives. Second Edition. Springer. (Chapters 1-3) Contents: Simple and multiple linear regressions: least squares estimation, maximum likelihood estimation, properties of least squares and maximum likelihood estimators, hypothesis testing, confidence intervals and prediction intervals. Problems and Remedies - normality, unequal variances, correlated errors, outliers and influential observations, and multicollinearity. Choosing the best regression: adjusted error mean square, adjusted R
