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Generalized Linear Models

Class at Faculty of Mathematics and Physics |
NMST412

Syllabus

1. Generalized linear model

2. Binary response regression

3. Loglinear model

4. Extensions of generalized linear model, quasilikelihood, sandwich estimator of variance

Annotation

Continuation of the course NMSA407 Linear Regression. This course covers regression models for non-normal data and discrete distributions.

The practice sessions include solutions to theoretical excercises but the focus is on analyses of different types of econometric, medical and technical data. The course is concluded by a Final Project.