A topic that's often very confusing for beginners when using neural networks is data normalization and encoding. Because neural networks work internally with numeric data, binary data (such as sex, ...

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 ...

Data analysis is a fundamental process in any project. However, data can be lumped into different types, with categorical and ...

This is a preview. Log in through your library . Abstract Likelihood ratio tests for no regression effect are considered when a linear model is used to explain the sample outcome where the ...

A 3-D animation shows how DNA molecules can be used in computational devices. (Credit: Microsoft Research) Data storage is getting better and better, but the final frontier for the long-term ...

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 ...