Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

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 ...

Now that you've got a good sense of how to 'speak' R, let's use it with linear regression to make distinctive predictions.

We study linear smoothers and their use in building nonparametric regression models. In the first part of this paper we examine certain aspects of linear smoothers for scatterplots; examples of these ...

Sound Bites • The development of generalised linear models (GLMs) led to other important advances in statistics, particularly when the assumption of independence between responses is violated.

While linear models tend to be easier to implement and interpret ... and categorical (i.e., falling into distinct categories) behaviors. As part of their study, the researchers primarily demonstrated ...

Multiple regression and regression diagnostics. Generalised linear models; the exponential family, the linear predictor, link functions, analysis of deviance, parameter estimation, deviance residuals.

Showtime is being integrated into Paramount+ across both linear and streaming platforms, resulting in a rebranding to "Paramount+ With Showtime." ...

In a thermally linear system, superposition may be applied to predict the transient response of the system to step changes in input power. This article is the second in a two-part series.