Preview Workflow

The CIM Courses system will be down temporarily undergoing routine maintenance.

Viewing: STAT 8265 : Multivariate Analysis

Last approved: Mon, 24 Apr 2017 08:03:52 GMT

Last edit: Thu, 13 Apr 2017 18:59:13 GMT

Catalog Pages referencing this course
Other Courses referencing this course

In The Catalog Prerequisites:

STAT 8266 : Topics-Multivariate Analysis
Columbian College of Arts and Sciences
Statistics (STAT)
STAT
8265
Multivariate Analysis
Multivariate Analysis
Fall 2017
3
Course Type
Lecture
Default Grading Method
Letter Grade

No
No
STAT 6201 and STAT 6202
Corequisites

30

Frequency of Offering

Term(s) Offered

Are there Course Equivalents?
No
 
No
Fee Type


No


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

Course Attribute


jbb (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
Key: 9184