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Apr 24, 2017 by Yinglei Lai (ylai)
STAT 8265 : Multivariate Analysis
Mon, 24 Apr 2017 08:03:52 GMT
Thu, 13 Apr 2017 18:59:13 GMT
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In The Catalog Prerequisites:
STAT 8266 : Topics-Multivariate Analysis
Columbian College of Arts and Sciences
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STAT 6201 and STAT 6202
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Characterization and properties of the multivariate normal distribution, conditional distributions, multiple correlation, partial correlation, estimation of the mean vector and the covariance matrix, Wishart and Hotelling distributions and applications to hypothesis testing, discrimination, classification, and principle component analysis.
As a result of completing this course, you will be able to:
1. Prove the properties of the multivariate normal distribution.
2. Analyze observations obtained from a multivariate normal distribution.
3. Perform multivariate statistical analysis with mathematical derivations.
4. Read, analyze and synthesize further methodology not covered in class.
Uploaded a Course Syllabus
Syllabus Stat 8265 Modarres Fall 2015.pdf
Explanation of how the course differs from similar GW courses
Course Reviewer Comments
Tue, 28 Feb 2017 22:12:57 GMT
Approved with expectation of receiving updated syllabus, as requested by Gina Harris on 2/17/2017. Syllabus must contain the required OAPA boilerplate regarding: Course requirements and grading; Attendance and Participation; Goals and Learning Outcomes; Weekly Schedule; Academic Integrity; Support for Students Outside the Classroom; Religious Holidays; Security. Consult template uploaded with syllabus. Also, the Middle States Commission on Higher Education now requires that all syllabi include average minimum amount of out-of-class or independent learning expected per week. For more detail see https://provost.gwu.edu/files/downloads/Resources/Assignment-of-Credit-Hours_Final_Oct-2016.pdf