Model building via linear regression models. Method of least squares, theory and practice. Checking for adequacy of a model, examination of residuals, checking outliers. Practical hand on experience ...

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 or discrete ...

Dan Herbatschek, CEO of Ramsey Theory Group and its subsidiary Erdos Technologies, today announced a groundbreaking initiative to cultivate the next wave of artificial intelligence innovators by ...

This is a preview. Log in through your library . Abstract This paper describes how linear programming models can be used to solve crude-oil producing problems for the purpose of economic planning of ...

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 ...

Generally speaking, there are two types of outcomes (i.e. response) in statistical analysis: continuous and categorical responses. Linear Models (LM) are one of the most commonly used statistical ...