培養學生迴歸分析所需之統計理論基礎與實際資料的應用技巧，以及介紹一些當代統計學家使用的程式套件，來強化迴歸模型方法的專業知識並提升運用的能力。Cultivate application techniques for the basic theoretical theory and practical data required for students' reproduction analysis, as well as introduce some program suites used by contemporary syslogans to enhance professional knowledge of reproduction model methods and improve their ability to use.
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 purpose of this course is to introduce the relevant methods and theories of reproductive analysis. In addition, how to use the learned method to do practical data analysis is also the focus of this course. The course mainly covers the following:
1. Simple and multiple recitation methods and theories
2. Verification mode suitability confirmation and diagnosis
3. The transformation of reaction variables
4. Analysis of regression and variations
5. Mode selection
6. Example analysis of using rehabilitation-related methods
a. Linear Regression Analysis 2nd by Seber, G.A.F. and Lee, A.J.
b. Linear Models With R 2nd by Faraway, Julian J.
Ah. linear regression analysis 2n stands for YS EB and G.A.F. and Lee, A.J.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 出席/小考出席/小考 Attend/small exam |
40 | |
| 期中考期中考 Midterm exam |
30 | |
| 期末考/報告期末考/報告 Final exam/report |
30 |
