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Fall 2017
Nov 20, 2017
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MATH 523 - Generalized Linear Models.
Modern discrete data analysis. Exponential families, orthogonality, link functions. Inference and model selection using analysis of deviance. Shrinkage (Bayesian, frequentist viewpoints). Smoothing. Residuals. Quasi-likelihood. Contingency tables: logistic regression, log-linear models. Censored data. Applications to current problems in medicine, biological and physical sciences. R software.

Winter
Prerequisite: MATH 423
Restriction: Not open to students who have taken MATH 426

4.000 Credit hours

Schedule Types: Lecture, Final Exam

Faculty of Science
Mathematics and Statistics Department

Restrictions:
May not be enrolled in one of the following Faculties:     
      Faculty of Dentistry
      Faculty of Medicine
      School of Continuing Studies

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