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課程名稱 |
應用線性統計模式
Applied Linear Regression |
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開課學期 |
111-2 |
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授課對象 |
共同教育中心 統計碩士學位學程 |
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授課教師 |
姚開屏 |
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課號 |
Psy5033 |
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課程識別碼 |
227 U1060 |
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班次 |
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學分 |
3.0 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
星期一2,3,4(9:10~12:10) |
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上課地點 |
北館N206 |
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備註 |
需修過心理及教育統計學或初等統計學相關課程。管理與社會統計領域選修課程之一。
總人數上限：30人 |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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為確保您我的權利,請尊重智慧財產權及不得非法影印
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課程概述 |
本學期課程以線性迴歸為主 |
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課程目標 |
1. 10次個人作業，各佔 10%。
2.請於上課當天第一節下課時繳交，不收遲交作業。
3.作業需使用SAS、R或其他統計軟體來完成，交出之作業請務必將需要用到的報表剪貼並寫上解釋後再交出來，不可以將所有報表一起交出。 |
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課程要求 |
曾修習過一年基礎統計課程，最好會使用統計套裝軟體如SAS、SPSS、R等。 |
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預期每週課後學習時數 |
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Office Hours |
另約時間 |
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指定閱讀 |
1. Kutner, Nachtsheim, Neter, & Li (2005). Applied Linear Statistical Models. 5th ed. McGraw-Hill. 華泰代理
2. Kutner, Nachtsheim, & Neter (2003). Applied Linear Regression Models. 4th ed. McGraw-Hill. 華泰代理
3. Lecture notes
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參考書目 |
1. Darlington & Hays (2016). Regression Analysis and Linear Models: Concepts, Applications, and Implementation. The Guilford Press.
2. Draper & Smith (1998). Applied Regression Analysis. 3rd ed. John Wiley & Sons.
3. Fox, J. (2015). Applied regression analysis and generalized linear models. 3rd ed. Sage.
4. Hocking & Peck (2013). Methods and Applications of Linear Models: Regression and the ANOVA. 3rd. ed. John Wiley & Sons.
5. Kleinbaum, D. G., et al. (2013). Applied Regression Analysis and Other Multivariable Methods. 4th ed. Cengage Learning.
6. Montgomery, D.C., Peck, E.A., & Vining, G. G. (2021). Introduction to Linear Regression Analysis. 6th ed. Wiley.
7. Pedhazur (1997). Multiple Regression in Behavioral Research. 3rd ed. Holt, Rinehart and Winston.
8. Stapleton, J. H. (2009). Linear Statistical Models. 2nd ed. Wiley.
9. Weisberg (2013). Applied Linear Regression. 4th ed. John Wiley & Sons.
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評量方式
(僅供參考) |
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No. |
項目 |
百分比 |
說明 |
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1. |
Homework |
100% |
10 assignments |
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週次 |
日期 |
單元主題 |
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第1週 |
02/20 |
課程介紹、確定選課者、統計套裝軟體介紹 |
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第2週 |
02/27 |
和平紀念日 (放假) |
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第3週 |
03/06 |
Chap 1: Simple Regression: Models, Assumptions, Estimation
(Assign Homework 1) |
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第4週 |
03/13 |
Chap 2: Simple Regression: Inference, ANOVA approach
(Submit Homework 1)
(Assign Homework 2) |
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第5週 |
03/20 |
Chap 3a: Simple Regression: Residuals, Diagnostics, Remedial measures
(Submit Homework 2)
(Assign Homework 3) |
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第6週 |
03/27 |
Chap 3b: Simple Regression: Residuals, Diagnostics, Remedial measures
Chap 4: Simple Regression: Simultaneous inferences
(Assign Homework 4) |
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第7週 |
04/03 |
兒童節 (放假)
(Submit Homework 3) |
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第8週 |
04/10 |
Chap 5: Matrix Approach (TA class)
(Submit Homework 4)
(Assign Homework 5) |
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第9週 |
04/17 |
Chap 6: Multiple Regression: Diagnostics, Remedial measures
(Submit Homework 5)
(Assign Homework 6) |
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第10週 |
04/24 |
Chap 7: Multiple Regression: Extra SS, Multicollinearity
(Submit Homework 6)
(Assign Homework 7) |
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第11週 |
05/01 |
Chap 8a: Multiple Regression: Quantitative & Qualitative Predictors
(Submit Homework 7)
(Assign Homework 8) |
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第12週 |
05/08 |
Chap 8b: Multiple Regression: Quantitative & Qualitative Predictors |
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第13週 |
05/15 |
Chap 9: Multiple Regression: Model selection & Validation
(Submit Homework 8)
(Assign Homework 9) |
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第14週 |
05/22 |
Chap 10: Multiple Regression: Model building ─ Diagnostics
(Submit Homework 9)
(Assign Homework 10) |
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第15週 |
05/29 |
Chap 11: Multiple Regression: Model building ─ Remedial measures
(Submit Homework 10) |
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