Some examples of generalized linear models follow. Explanatory variables can be any combination of continuous variables, classification variables, and interactions. Traditional Linear Model response ...

These statements estimate the model This example models the effect of PRICE on SALES as a linear function of the current and three most recent values of PRICE. It is equivalent to a multiple linear ...

Goal programming Numerical example. In order to reveal the ‘mechanics’ of achievement functions, we use a simplified diet model with two foods: (1) bread and (2) meat, with associated decision ...

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 ...

Many in the crypto community are focused on using blockchain technology for social good. This article will introduce you to 18 projects in various stages of development, from ideas to ready-to ...

Linear mixed models (LMMs) are a powerful and established tool for studying genotype–phenotype relationships. A limitation of the LMM is that the model assumes Gaussian distributed residuals, a ...