A Temple University environmental engineer has outlined new mathematical procedures, or techniques, to produce analytical solutions of the complex, non-linear equations of water flow in soils ...

This is the equivalent of linear algebra—performing matrix multiplication. However, AI models are often used to find intricate patterns in data where the output is not always proportional to the ...

This unit builds on the basic ideas of linear models introduced in Probability and Statistics 1 (MATH 11340), and Linear Models (MATH 35110), and extends them to deal with more general specifications.

Course Topics Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be continuous ...

DTSA 5013 Generalized Linear Models and Nonparametric Regression DTSA 5013 Generalized Linear Models and Nonparametric Regression Specialization: Statistical Modeling for Data Science Applications ...

We show that generalized linear models are well suited to the analysis of enzyme-kinetic data, and illustrate the process of modelling using data published in this journal. Journal Information ...