Standard regression approaches assume that some finite number of the response distribution characteristics, such as location and scale, change a (parametric or nonparametric) function predictors. However, it is not always appropriate to location/scale representation, where error has unchanging shape over predictor space. In fact, often happens in applied research responses under study changes w...
