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Viewing: STAT 8266 : Topics-Multivariate Analysis

Last approved: Mon, 24 Apr 2017 08:03:53 GMT

Last edit: Thu, 13 Apr 2017 19:02:01 GMT

Catalog Pages referencing this course
Columbian College of Arts and Sciences
Statistics (STAT)
Topics-Multivariate Analysis
Topics-Multivariate Analysis
Fall 2017
Course Type
Special Topics
Default Grading Method
Letter Grade

STAT 6201, STAT 6202 and STAT 8265


Frequency of Offering

Term(s) Offered

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Fee Type


Multivariate analysis of variance, principal component analysis, canonical correlation, factor 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

Course Attribute

jbb (Tue, 28 Feb 2017 22:13:27 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
Key: 9185