STAT 55300 - Theory Of Linear Models And Analysis Of Experimental Designs

Institution:

Purdue University-Main Campus

Subject:

Description:

Credit Hours: 3.00. Least squares analysis of linear models. Gauss Markov Theorem. Estimability and testability of parameters. Confidence regions and prediction regions. Introduction to design of experiments. Analysis of variance. Factorial and block designs. Analysis of random, fixed, and mixed models. Components of variance. Distribution of linear and quadratic forms in normal vectors. A firm background in matrix algebra and some previous exposure to linear models or analysis of variance is desirable. Typically offered Fall. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Lecture College of Science College Statistics Department Course Attributes: CH Technical Electives, Upper Division

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.purdue.edu

Phone Number:

(765) 494-4600

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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