Linear mixed models are increasingly used for the analysis of genome-wide association studies (GWAS) of binary phenotypes because they can efficiently and robustly account for population ...

During the course of operation, businesses accumulate all kinds of data such as numbers related to sales performance and profit, and information about clients. Companies often seek out employees with ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

A variety of linear models are available to represent common active electronic devices such as transistors and vacuum tubes. Devices operating under large-signal conditions often require nonlinear ...

When the response functions are the default generalized logits, then inclusion of the keyword _RESPONSE_ in every effect in the right-hand side of the MODEL statement induces a log-linear model. The ...

Linear finite-element analysis does not provide enough information about buckling to make correct design decisions, especially when designing lightweight components ...

Keywords: Modal analyses. Seismic excitations. Linear structures. Supplemental damping. Structural response. Seismic performance. Over-damped modes. Peak responses. Response spectrum method. Abstract: ...

This article is sponsored by Xandr. It’s a transformational time for television consumption. The entire industry is focused on finding the best ways to reach audiences across the different delivery ...