Skip to main content
grasp.study
About
Explore
Pricing
Log in
Try it for free
Back to course
👋
Welcome to a Grasp lesson
Create a free account
to keep studying and create your own study path.
Midterm prep: categorical data, GLMs
·
Module 6
Hypothesis Testing in GLMs
1
Likelihood Ratio Test for Nested GLMs
Perform and interpret a Likelihood Ratio Test (LRT) to compare nested GLMs using their deviances.
2
Wald Test for GLM Parameters
Perform and interpret a Wald test to assess the significance of an individual GLM parameter.
3
Score Tests for GLM Parameters
Describe the purpose and general procedure of a Score test for GLM parameters.
4
Likelihood Ratio, Wald, and Score Tests: A Comparative Analysis
Compare the properties of the Likelihood Ratio, Wald, and Score tests and identify when each is most appropriate.
Previous module
Parameter Estimation in GLMs
Next module
Applied GLM: Logistic Regression