Introduce some underlying linear regression theory, real data applications, and common statistical packages that have been used for modern statisticiansintroduce some underlying linear regression theory, real data applications, and common statistical packages that have been used for modern statisticians
本課程主要目標在介紹迴歸分析之相關方法以及其理論。除此之外，如何利用所學迴歸方法來做實際資料分析亦是本課程之重點，課程主要涵蓋如下：
1.簡單以及多重迴歸之方法及理論
2.迴歸模式適合度檢定以及診斷
3.反應變數之轉換
4.迴歸與變異數分析
5.模式選取
6.利用迴歸相關方法之實例分析
The main goal of this course is to introduce the related methods and theories of regression analysis. In addition, how to use the regression methods learned to do actual data analysis is also the focus of this course. The course mainly covers the following:
1. Simple and multiple regression methods and theories
2. Regression model fitness test and diagnosis
3. Conversion of reaction variables
4. Regression and variation analysis
5.Mode selection
6. Example analysis using regression correlation method
a. Linear Regression Analysis 2nd by Seber, G.A.F. and Lee, A.J.
b. Applied Linear Regression 4th by Sanford Weisberg
c. Plane Answers to Complex Questions: The Theory of Linear Models by Ronald Christensen
a. Linear Regression Analysis 2nd by Seber, G.A.F. and Lee, A.J.
b. Applied Linear Regression 4th by Sanford Weisberg
c. Plane Answers to Complex Questions: The Theory of Linear Models by Ronald Christensen
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| Quizzes/ PresentationsQuizzes/ Presentations quizzes/presentations |
40 | |
| MidtermMidterm midterm |
30 | |
| Final/ ProhjectsFinal/ Prohjects final/ pro HJ ECT is |
30 |
