STSCI 5030

Last Updated

  • Schedule of Classes - January 31, 2019 7:14PM EST
  • Course Catalog - January 31, 2019 7:15PM EST

STSCI 5030
Linear Models with Matrices

Course information provided by the Courses of Study 2018-2019.

The focus of this course is the theory and application of the general linear model expressed in its matrix form. Topics will include: least squares estimation, multiple linear regression, coding for categorical predictors, residual diagnostics, anova decomposition, polynomial regression, model selection techniques, random effects and mixed models, maximum likelihood estimation and distributional theory assuming normal errors. Homework assignments will involve computation using the R statistical package.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: two-semester sequence on statistical methods (e.g. BTRY 3010-BTRY 3020), a course on probability and distribution theory (e.g. BTRY 3080 or MATH 4710), multivariable calculus, and linear/matrix algebra, or permission of instructor.

Comments Co-meets with BTRY 4030/STSCI 4030.

View Enrollment Information

Syllabi:

  • 12564 STSCI 5030   LEC 001

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  • Prerequisites: A two-semester sequence on statistical methods (e.g. BTRY 3010-BTRY 3020), a course on probability and distribution theory (e.g. BTRY 3080 or MATH 4710), multivariable calculus, and linear/matrix algebra, or permission of instructor. Intended for MPS students in Applied Statistics.

  • 12565 STSCI 5030   LAB 401

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  • 12566 STSCI 5030   LAB 402

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  • 12864 STSCI 5030   LAB 403

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  • 12865 STSCI 5030   LAB 404

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