國立中興大學教學大綱 |
課程名稱 | (中) 迴歸分析(6395) | ||||||||
(Eng.) Regression Analysis | |||||||||
開課單位 | 水保系 | ||||||||
課程類別 | 選修 | 學分 | 3 | 授課教師 | 王咏潔 | ||||
選課單位 | 水保系 / 碩士班 | 授課使用語言 | 中文 | 英文/EMI | N | 開課學期 | 1061 | ||
課程簡述 | 本課程以介紹單變數的簡單線性迴歸與多變數線性迴歸為主軸,包含其基本定義、原理和原則,及應用方法與分析步驟。輔以統計套裝軟體之說明與操作,並應用於案例之分析,使學生將所學原理應用於實際資料分析。 This course focuses on the basic concepts and principles, and case study application in simple linear regression and multiple linear regression methods. The application of data analysis for case studies will be illustrated through the introduction and practice of statistical software package for students to get hands-on experience of applying the regression methods. |
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先修課程名稱 | 課程含自主學習 | N |
課程與核心能力關聯配比(%) | 課程目標之教學方法與評量方法 | ||||||||||||||||
課程目標 | 核心能力 | 配比(%) | 教學方法 | 評量方法 | |||||||||||||
1. 瞭解單變數簡單線性迴歸與多變數線性迴歸分析方法之基礎理論應用原則。 2. 操作統計軟體並應用於案例資料分析,培養迴歸分析方法之技能。 |
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授課內容(單元名稱與內容、習作/每週授課、考試進度-共18週) | |||||||||||||||||
Week1: Introduction & Simple linear regression Week2: Simple linear regression Week3: Inferences in regression and correlation analysis Week4: Model adequacy: Diagnostics and remedial measures Week5: Model adequacy: Diagnostics and remedial measures Week6: Model adequacy: Diagnostics and remedial measures Week7: Multiple linear regression (I) Week8: Multiple linear regression (II) Week9: (期中考週) Project discussion Week10: Multiple linear regression (III) Week11: Polynomial regression models Week12: Quantitative and qualitative predictors Week13: Building regression model I: Variable selection and model validation Week14: Building regression model II: Diagnostics Week15: Building regression model III: Remedial measures Week16: Autocorrelation in time series data Week17: Introduction to nonlinear regression Week18: (期末考週) Project presentation |
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學習評量方式 | |||||||||||||||||
作業及課堂參與 50% 期末報告 50% (口頭20%、書面30%) |
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教科書&參考書目(書名、作者、書局、代理商、說明) | |||||||||||||||||
參考書: Introduction to Linear Regression Analysis (5th ed.) by Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining, 2006 (歐亞書局代理). Applied Linear Statistical Models by Michael Kutner, Christopher J. Nachtsheim, John Neter, William Li, 2004, McGraw-Hill/Irwin. 統計套裝軟體: R語言 |
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課程教材(教師個人網址請列在本校內之網址) | |||||||||||||||||
請由e-campus平台下載上課講義與作業資訊 |
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課程輔導時間 | |||||||||||||||||
Appointment by email |
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更新日期 西元年/月/日:無 | 列印日期 西元年/月/日:2024 / 4 / 19 |
MyTB教科書訂購平台:http://www.mytb.com.tw/ |