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Detailed Course Information


Fall 2020
Jan 25, 2021
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STAT 55300 - Theory Of Linear Models And Analysis Of Experimental Designs
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 Spring.
3.000 Credit hours

Levels: Graduate, Professional, Undergraduate
Schedule Types: Lecture

Offered By: College of Science
Department: Statistics

Course Attributes:
Upper Division

May be offered at any of the following campuses:     
      West Lafayette

May not be enrolled as the following Classifications:     
      Sophomore: 45 - 59 hours
      Sophomore: 30 - 44 hours
      Freshman: 0 - 14 hours
      Freshman: 15 - 29 hours

GR-STAT 55300 Requisites

General Requirements:

Student Attribute: GR
May not be taken concurrently.  )
Course or Test: STAT 52800
Minimum Grade of D-
May not be taken concurrently. )

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