_ STAT 453/653, Fall 2012, Statistical Lab 3 _
Generalized Linear Models: One explanatory variable
Goals:
Learn how to construct and solve GLMs with a single explanatory variable
Assignments:
Horseshoe crab study
1a. Construct and solve glms with logit an
_ STAT 453/653, Fall 2012, Statistical Lab 1 _
Getting started with
Goals:
Make yourself familiar with
-basics: be able to install the package at your home
computer, open the package, find help, load data, download/install additional
-packages,
save/load
_ STAT 453/653, Fall 2012, Statistical Lab 5 _
Generalized Linear Models: Non-linear Terms
Goals:
Learn how to construct and solve GLMs with non-linear terms
Illustrate the process of fitting a GLM model for a concrete applied problem
Illustrate possible
_ STAT 453/653, Fall 2012, Statistical Lab 4 _
Generalized Linear Models
Goals:
Learn how to construct and solve GLMs with multiple explanatory variables
Outline:
Multiple glm (more than one independent variable)
Possibility for interactions
Assignments:
_ STAT 453/653, Fall 2012, Statistical Lab 2 _
Contingency Tables and Goodness-of-Fit Tests
Goals:
Learn how to manipulate with contingency tables (CT) and perform goodness-of-fit tests.
Outline:
Contingency tables: basics
One-dimensional (1-D) inference