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 ...

In this paper, parametric and empirical likelihood functions or surfaces are compared. In particular, first- and second-order expansions for log likelihood functions are developed in nonparametric and ...

Using the computer to design objects by modeling their components with real-world behaviors and attributes. Typically specialized for either mechanical design or building design, a parametric modeler ...