When multiple variables are associated with a response, the interpretation of a prediction equation is seldom simple.

First, multiple linear regression models are considered and the design matrices are allowed to be different. Second, the predictor variables are either unconstrained or constrained to finite intervals ...

Quantile regression estimators at a fixed quantile level rely mainly on a small subset of the observed data. As a result, efforts have been made to construct simultaneous estimations at multiple ...