STAT 458
Generalized Linear Models- Theory and Applications
Last Offered Fall 2022
Division III Quantitative/Formal Reasoning
This course is not offered in the current catalog

Class Details

This course will explore generalized linear models (GLMs)–the extension of linear models, discussed in Stat346, to response variables that have specific non-normal distributions, such as counts and proportions. We will consider the general structure and theory of GLMs and see their use in a range of applications. As time permits, we will also examine extensions of these models for clustered data such as mixed effects models and generalized estimating equations.
The Class: Format: lecture
Limit: 20
Expected: 10
Class#: 1491
Grading: yes pass/fail option, yes fifth course option
Requirements/Evaluation: Weekly homework consisting of theoretical exercises and data analyses carried out in R. Short frequent quizzes and one midterm (with an in-class and take-home component). Final project and final exam.
Prerequisites: STAT 346, or permission of instructor
Enrollment Preferences: Seniors and Statistics majors
Distributions: Division III Quantitative/Formal Reasoning
QFR Notes: This is an intensive statistics course, involving theoretical and mathematical reasoning as well as the application of mathematical ideas to data using software.

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