Estimating the conditional quantiles of outcome variables of interest is frequent in many research areas, and quantile regression is foremost among the utilized methods. The coefficients of a quantile ...

This is a preview. Log in through your library . Abstract After a hypothesis about some linear multivariate statistical model has been tested and rejected (e. g., in a MANOVA), many researchers employ ...

Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and ...

WolframAlpha has compiled a growing list of portraits of iconic figures drawn by parametric functions. Some of them are surprisingly good – though, as Joe Hanson points out, there’s a decent chance ...