6196 - 多變量分析
Multivariate Analysis
教育目標 Course Target
預計講授內容大致包括以下數項:
(1). 多變量資料介紹與矩陣運算之複習。
(2). 多變量常態分配。
(3). 多變量變異數分析,profile analysis。
(4). Principal Component Analysis。
(5). Factor Analysis。
(6). Discriminant Analysis。
(7). Clustering。
(8). Multidimensional Scaling (MDS) 。
(9). LISREL 方法。
The intended teaching content roughly includes the following:
(1). Copy between multi-variable data introduction and matrix operation.
(2). Multivariate constant allocation.
(3). Multivariate variation analysis, profile analysis.
(4). Principal Component Analysis.
(5). Factor Analysis.
(6). Discriminant Analysis.
(7). Clustering.
(8). Multidimensional Scaling (MDS).
(9). LISREL method.
課程概述 Course Description
Fields in the biological, physical and social sciences frequently collect observations involved several variables. Data analysis on such cases becomes truly fascinating and challenging. Modern computer packages readily provide the techniques for complex statistical data analysis. Therefore, we integrate several aspects of computer usage into the course for illustration. This course contains an understanding of the basic knowledge and well-developed statistical theories necessary for selecting appropriate techniques in a wide variety of application environments. Some topics including principal analysis, factor analysis, canonical correlation analysis, discriminant analysis, clustering and classification analysis etc. are contained in the course.
Fields in the biological, physical and social sciences frequently collect observations involved several variables. Data analysis on such cases becomes truly fascinating and challenging. Modern computer packages readily provide the techniques for complex statistical data analysis. Therefore, we integrate several aspects of computer usage into the course for illustration. This course contains an understanding of the basic knowledge and well-developed statistical theories necessary for selecting appropriate techniques in a wide variety of application environments. Some topics including principal analysis, factor analysis, canonical correlation analysis, discriminant analysis, clustering and classification analysis etc. are contained in the course.
參考書目 Reference Books
Johnson and Wichern, 2007, Applied Multivariate Statistical Analysis, 6th. ed., 雙葉。
Johnson and Wichern, 2007, Applied Multivariate Statistical Analysis, 6th. ed., Double Leaf.
評分方式 Grading
評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
---|---|---|
作業 Action |
15 | |
小考1 Small Test 1 |
20 | |
小考2 Tips 2 |
20 | |
期中考 Midterm exam |
20 | |
期末考 Final exam |
25 |
授課大綱 Course Plan
點擊下方連結查看詳細授課大綱
Click the link below to view the detailed course plan
相似課程 Related Courses
課程代碼 Course Code |
課程名稱 Course Name |
授課教師 Instructor |
時間地點 Time & Room |
學分 Credits |
操作 Actions |
---|---|---|---|---|---|
必修-4915
|
國立政治大學 外校教師 | 0-3 | 詳細資訊 Details |
課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 6196
- 學分 Credit: 0-3
-
上課時間 Course Time:Wednesday/10,11,12[M024]
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授課教師 Teacher:劉家頤
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修課班級 Class:共選修碩博(統計所開)
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選課備註 Memo:大數據碩士學分學程課程,修此學程之同學優先,二校電腦教室上課
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