The course cover the following major topics in statistics:
Mathematical statistics: Normal distributions, sampling, estimation, Hypothesis tests
Regression
Experimental Design
Generalized linear models
Multivariate analysisThe course cover the following major topics in statistics:
Mathematical statistics: Normal distributions, sampling, estimation, Hypothesis tests
Regression
Experimental Design
Generalized linear models
Multivariate analysis
本門課目標為介紹一些常用統計方法之理論以及實務應用。這些統計方法包含(1)迴歸分析、(2)廣義線性模式、(3)多變量分析、(4)類別資料分析及(5)可靠度分析。
本課程會針對學生將來在博士論文研究中所需要的數量方法，提供理論的推導與相關計算方法的介紹。藉由實際資料的分析過程，培養學生獨立思考與解決問題的能力。
The purpose of this course is to introduce the theory and practical applications of some commonly used statistical methods. These statistical methods include (1) replication analysis, (2) broad linear mode, (3) multivariate analysis, (4) category data analysis, and (5) reliability analysis.
This course will provide a guide to theory and introduction to related calculation methods for students to study PhD thesis. Through the analysis of actual data, students can cultivate their ability to think independently and solve problems.
Probability and statistical inference
by Robert V. Hogg (Author), Elliot A. Tanis (Author)
Probability and statistical inference
by Robert V. Hogg (Author), Elliot A. Tanis (Author)
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| AttendanceAttendance Attendance |
10 | |
| HomeworkHomework Homework |
20 | |
| Midterm ExamMidterm Exam Midterm Exam |
30 | |
| Final ExamFinal Exam Final Exam |
40 |
