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 ...

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.

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

We consider marked empirical processes indexed by a randomly projected functional covariate to construct goodness-of-fit tests for the functional linear model with scalar response. The test statistics ...

For models with canonical link functions, unbiased estimating equations are derived. The maximum likelihood estimator for the normal theory, structural linear instrumental variable model is shown to ...

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 ...