課程名稱 |
應用線型統計模式 (一) Applied Linear Statistical Models (I) |
開課學期 |
111-1 |
授課對象 |
生物資源暨農學院 生物統計學組 |
授課教師 |
蔡欣甫 |
課號 |
Agron5087 |
課程識別碼 |
621 U6730 |
班次 |
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學分 |
3.0 |
全/半年 |
半年 |
必/選修 |
選修 |
上課時間 |
星期一6,7,8(13:20~16:20) |
上課地點 |
新402 |
備註 |
總人數上限:20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 |
課程大綱
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課程概述 |
Linear and generalized linear models have been widely used in agronomic research and many other fields. Regression models, which are a subclass of linear models, are important statistical tools in an agronomist's toolkit. The objective of this course is to introduce fundamental theory and practical techniques of regression analysis. Several important topics, including parameter estimation, hypothesis testing, model selection and diagnostics, will be detailed. In addition, R programs will be provided to implement these analysis procedures. After successfully completing this course, students will be able to address real-world research questions using regression analysis. |
課程目標 |
The objective of this course is to introduce fundamental theory and practical techniques of regression analysis |
課程要求 |
Elementary Statistics (Agron2002) and Matrix Algebra (Agron4023) |
預期每週課後學習時數 |
3 hours per week |
Office Hours |
每週五 15:00~16:00 備註: Biometry Laboratory 202 |
指定閱讀 |
Lecture Notes |
參考書目 |
Kutner, M., Nachtsheim, C. and Neter, J. (2004). Applied Linear Regression Models. 4th Edition. McGraw-Hill |
評量方式 (僅供參考) |
No. |
項目 |
百分比 |
說明 |
1. |
Homework |
30% |
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2. |
Midterm Exam |
30% |
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3. |
Final Exam |
30% |
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4. |
Final Project |
10% |
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