Course Schedule: Results |
2019 September Semester
Apr 25, 2024 |
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| CRN 50603 Linear Models - STAT 471 - A1 |
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This course discusses the estimation of parameters in the multiple linear regression model by the least-squares method. Topics covered include the statistical properties of the least-spares estimators, the Gauss-Markov theorem, estimates of residual and regression sums of squares, distribution theory under normality of the observations, assessment of normality, variance stabilizing transformations, examination of multicollinearity, variable selection methods, logistic regression for a binary response, log-linear models for count data, and generalized linear models.
Levels: Undergraduate Campus: Prince George Schedule Type: Lecture Instructional Method: On campus, face to face Credits: 3.000
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