Generalized linear models are widely used by data analysts. However, the choice of the link function is often made arbitrarily. Here we permit the data to estimate the link function by incorporating ...

Generalized linear models (GLMs) are widely used for data analysis; however, their likelihood estimators can be sensitive to outliers. We propose new statistical models that allow robust inferences ...

When thermal simulation software isn't available, or for quicker results, designers can apply linear superposition to model the thermal performance of their power systems. This article is the first in ...

A team of researchers based at the Massachusetts Institute of Technology (the United States) has tried to shed light on the ...