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| STAT 52501 - Generalized Linear Models |
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Credit Hours: 3.00. Generalized linear models, likelihood methods for data analysis, and diagnostic methods for assessing model assumptions. Methods covered include: multiple regression, analysis of variance for completely randomized designs, binary and categorical response models, and hierarchical log-linear models for contingency tables. Typically offered Fall.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: Regional Campus Only Department: IUPUI Courses-IUPUI Course Attributes: Upper Division May be offered at any of the following campuses: IUPUI Learning Outcomes: 1. Have knowledge of the relationship between the usual linear regression models and generalized linear models. 2. Understand the need of the extension from linear models to generalized linear models. 3. Be able to derive the quasi-likelihood and generalized estimating equations as well as criteria for specific models. 4. Understand AIC and BIC and their relationships. |
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