In the example below, I use an e-commerce data set to build a regression model. ... Building a linear regression model. So far, I have explored the dataset in detail and got familiar with it.

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

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Solving a machine-learning mystery A new study shows how large language models like GPT-3 can learn a new task from just a few examples, without the need for any new training data ...

This example illustrates a log-linear model of independence, using data that contain structural zero frequencies as well as sampling (random) zero frequencies. In a population of six squirrel monkeys, ...

The books various examples are accompanied by the appropriate models and calculations, and a related Web site features these models along with Maple and MATLAB content for the discussed calculations.

Generalized linear mixed model. We use a binomial trait as an example to demonstrate the new methodology, although the method can be applied to other discrete traits.