Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for additional information.

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Course Descriptions: Search Results

STT 863 Applied Statistics Methods I

Semester:
Fall of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Recommended Background:
(STT 442 or STT 862) and MTH 314
Not open to students with credit in:
STT 841
Description:
Application of regression models including simple and multiple regression, model diagnostics, model selection, one- and two-way analysis of variance, mixed effects models, randomized block designs, and logistic regression.
Effective Dates:
FS05 - FS05

STT 863 Applied Statistics Methods I

Semester:
Fall of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Recommended Background:
(STT 442 or STT 862) and (MTH 415 or concurrently)
Not open to students with credit in:
STT 841
Description:
Application of regression models including simple and multiple regression, model diagnostics, model selection, one- and two-way analysis of variance, mixed effects models, randomized block designs, and logistic regression.
Effective Dates:
SS06 - SS12

STT 863 Statistical Methods I

Semester:
Fall of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Recommended Background:
(STT 442 or STT 862) and MTH 415
Not open to students with credit in:
STT 841
Description:
Introduction to the general theory of linear models. Application of regression models. Interval estimation, prediction and hypothesis testing. Contrasts; model diagnostics; model selection. LASSO type and high dimensional variable selection. Introduction to Linear mixed effect models.
Effective Dates:
US12 - Open