108年第2學期-1595 線性模型 課程資訊

課程分享

選課分析

本課程名額為 70人,已有23人選讀,尚餘名額47人。
本課程可網路登記,目前已登記人數為 1 人,選上機率為99.9%

評分方式

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

授課教師

蘇俊隆

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

課程資訊

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