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

For a linear ordinary differential equation of variable coefficients in which the highest order derivative $d^{n}y/dx^n$ is multiplied by a small parameter $\epsilon ...

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 ...

This is a preview. Log in through your library . Abstract Scalogram analysis using the Guttman board and the Guttman notation is often, according to the author, tedious, expensive, and visually ...

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 ...