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廣義線性模型
真理大學 102學年度第 1學期教學計劃表
科目名稱:(中) 廣義線性模型 (英) Generalized Linear Models
授課教師: 曾能芳
開課班級:統計與精算學系碩士班 一年級
學分數:3學分 3小時 必修
預備知識:統計學
授課方式 :口頭講授

教學目標:
The course mainly focuses on the linear regression models. In addition, the logistic regression models are discussed. Linear models are widely used in business, economics and biological sciences. In the course we will give the underlying theory and the practical application from linear model analysis. We hope that the students have basic skill to study after completing the course.

教材課本:Applied linear regression models Kunter, M. H.
參考書籍:Applied regression analysis: a research tool Rawlings, J. O.

授 課 進 度 表
週次  內容
1 Simple linear regression-Inference concerning regression parameters
2 Simple linear regression-Interval estimation of the mean for Y-Analysis of variance to regression analysis
3 Simple linear regression-diagnostics and remedial measure
4 Simultaneous Inference-Joint estimation of regression parameter
5 Matrix approach-Least squares estimation of regression parameters
6 Matrix approach-Inference in regression analysis of variance
7 Multiple regression model I-Estimation of regression parameters
8 Multiple regression model I-Diagnostics and remedial measures
9 Midterm
10 Multiple regression model I-Extra sum of squares
11 Multiple regression model II-Coefficients of partial determination
12 Multiple regression model II-Multicollinearity
13 Multiple regression model II-Polynomial regression model
14 Logistic regression-Simple logistic model (1)
15 Logistic regression-Simple logistic model (2)
16 Logistic regression-Multiple logistic model (1)
17 Logistic regression-Multiple logistic model (2)
18 Final Exam

學生核心能力
■ 具備統計方法與精算的整合能力 權重 30%
■ 具備推理分析與解決問題的能力 權重 20%
■ 具備軟體應用與程式設計的能力 權重 20%
■ 具備獨立思考與創新學習的能力 權重 15%
■ 具備溝通協調與專業表達的能力 權重 15%

成績考核方式:期中考: 35%、期末報告: 35% 作業: 20%、 出缺席及上課態度:10%
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