1st Student's Major
Mathematics and Statistics
1st Student's College
Science, Engineering and Technology
Students' Professional Biography
Herbert C. Heien and William A. Baumann are students in the Department of Mathematics and Statistics at Minnesota State University, Mankato.
Mentor's Name
Mezbahur Rahman
Mentor's Email Address
mezbahur.rahman@mnsu.edu
Mentor's Department
Mathematics and Statistics
Mentor's College
Science, Engineering and Technology
Abstract
Log-Rate models are used in analyzing rates of individuals who are exposed to a risk of having a certain characteristic. The explanatory variables could be categorical or in a continuous scale. In finding a Log-Rate Model, parameters are estimated and goodness-of-fit are studied to carefully extract the best model to fit our data. Here we revisit three aspects of Log-Rate Models using the data set give at the end of the paper. The three aspects are parameter estimation, goodness-of-fit of the model, and marginal effect of the factors.
Recommended Citation
Heien, Herbert C. and Baumann, William A.
(2003)
"Inferences in Log-Rate Models,"
Journal of Undergraduate Research at Minnesota State University, Mankato: Vol. 3, Article 2.
DOI: https://doi.org/10.56816/2378-6949.1171
Available at:
https://cornerstone.lib.mnsu.edu/jur/vol3/iss1/2
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License