108年第2學期-1595 線性模型 課程資訊

評分方式

評分項目	配分比例	說明
Quizzes	40
Midterm	30
Final	30

教育目標

Objective : Introduce some linear model theory that have been used for modern statisticians Contents: 1. Matrix algebra 2. Random Vectors and Matrices 3. Multivariate Normal Distribution 4. Distribution of Quadratic Forms in y 5. Simple Linear Regression 6. Multiple Regression: Estimation 7. Multiple Regression: Tests of Hypotheses and Confidence Intervals 8. Multiple Regression: Model Validation and Diagnostics 9. Multiple Regression: Random x’s 10.Multiple Regression: Bayesian Inference 11.Analysis-of-Variance Models 12.One-Way Analysis-of-Variance: Balanced Case 13.Two-Way Analysis-of-Variance: Balanced Case 14.Analysis-of-Variance: The Cell Means Model for Unbalanced Data 15.Analysis-of-Covariance 16.Linear Mixed Models

基本資料

選修課，學分數：0-3
上課時間：五/4,5,6[M155]
修課班級：統計系2-4
修課年級：年級以上
選課備註：A群組(101-104適用)

參考書目

a. Linear Models in Statistics 2nd by Rencher, A.C. and Schaalje, G. B.
b. Plane Answers to Complex Questions: The Theory of Linear Models by Ronald Christensen