Serial Number
59836
Course Number
MBA5011
Course Identifier
741 U3520
No Class
- 3 Credits
Elective
DEPARTMENT OF BUSINESS ADMINISTRATION / GRADUATE INSTITUTE OF BUSINESS ADMINISTRATION / Master Program in Statistics of National Taiwan University
DEPARTMENT OF BUSINESS ADMINISTRATION
GRADUATE INSTITUTE OF BUSINESS ADMINISTRATION
Master Program in Statistics of National Taiwan University
ElectiveNo Instructor
- Fri 7, 8, 9
管二101
Type 3
70 Student Quota
NTU 70
- 4 Specialization Programs
- Chinese
- NTU COOL
- Core Capabilities and Curriculum Planning
- Notes
- Limits on Course Adding / Dropping
Restriction: seniors year and beyond and Restriction: students of the College of Management (including students taking minor and dual degree program)
NTU Enrollment Status
Enrolled0/70Other Depts0/25Remaining0Registered0- Course Description本課程針對多變量分析作深入而廣泛的探討。 內容包含：Principal components, Factor analysis, Discrimination and classification, Clustering, Comparison of several means, MANOVA.
- Course Objective課程著重於數學觀念推導、方法應用、與研究意涵解釋。除了上課的講授與軟體系統demo外，並且配合手算作業、軟體系統操作作業、與實例方式進行，以兼顧理論與實務。
- Course Requirement為確保上課品質，修課同學必需先修過統計相關課程與線性代數。
- Expected weekly study hours after class3小時。
- Office Hour
*This office hour requires an appointment - Designated ReadingJohnson，Applied Multivariate Statistical Analysis，6th edition，Pearson，2014.(雙葉)
- ReferencesHair,Black,Babin,Anderson, Multivariate Data Analysis,8th edition,Pearson, 2019(華泰). 陳正昌, 林曉芳，R統計軟體與多變量分析，2020，五南。 Subhash Sharma, Applied Multivariate Techniques, John Wiley & Sons, 1996. 彭昭英，SAS與統計分析，第14版，2007，儒林圖書。 陳順宇，多變量分析，2006，第4版，華泰文化。 陳正昌、程炳林、陳新豐、劉子鍵，多變量分析方法－統計軟體應用，五南。
- Grading
30% 期中考
30% 期末考
40% 作業
- Adjustment methods for students
Adjustment Method Description Teaching methods Provide students with flexible ways of attending courses
Assignment submission methods Mutual agreement to present in other ways between students and instructors
Others Negotiated by both teachers and students
Exam methods Final exam date postponement
- Course Schedule
2/23Week 1 2/23 Aspects of multivariate analysis 3/01Week 2 3/01 Matrix algebra and random vectors 3/08Week 3 3/08 Quiz;Random sampling and multivariate normal 3/15Week 4 3/15 Principal components(I) 3/22Week 5 3/22 Principal components(II) 3/29Week 6 3/29 Factor analysis(I) 4/05Week 7 4/05 Holiday 4/12Week 8 4/12 Mid-term exam 4/19Week 9 4/19 Factor analysis(II) 4/26Week 10 4/26 Discrimination and classification (I) 5/03Week 11 5/03 Discrimination and classification (II) 5/10Week 12 5/10 Clustering(I) 5/17Week 13 5/17 Clustering(II) 5/24Week 14 5/24 Comparison of several means 5/31Week 15 5/31 MANOVA & Paper Presentation 6/07Week 16 6/07 Final exam