One linear model and two nonlinear models performed as well as the overall average of a group of experts. However, all of the models were outperformed by the most accurate expert. By combining ...

Highly reduced order models with nonlinear contact – extremely efficient computation. Modeled as linear components interconnected with highly reduced-order components.

Nonlinear models of measurement errors are used to analyze and correct inaccuracies in data collection and interpretation.

You construct a generalized linear model by deciding on response and explanatory variables for your data and choosing an appropriate link function and response probability distribution. Some examples ...

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 ...

Generalized Linear Models (GLMs) and Categorical Data Analysis (CDA) Course Topics Generally speaking, there are two types of outcomes (i.e. response) in statistical analysis: continuous and ...