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MAT 549E - Statistical Modeling and Regression Analysis

Course Objectives

1. To teach the theory of simple and multiple regression analysis and how to do a model selection.
2. To teach how to do diagnostics methods and perform residual analysis.
3. To teach Logistic and Poisson regression analysis.
4. To teach the generalized linear regression models
5. To teach how to estimate parameters, interpret and validate the results obtained for multiple regression analysis.

Course Description

The theory of simple and multiple linear regression analysis and modeling. Regression model selection. Residual analysis. Autocorrelation, multicolinearity. Logistic regression, Poisson regression. Generalized linear models. Applications of these models to data.

Course Coordinator
Mustafa Nadar
Course Language
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