errors and average bias via the Monte Carlo simulation framework. A regression model is formulated and the residual analysis …

regression approaches modeling all parameters including location, scale, and shape. Notably, so-called non-homogenous Gaussian … regression (NGR) models both mean and variance of a Gaussian response and is particularly popular in weather forecasting. More … situations would be the application of regression trees or random forests but, so far, no general distributional framework is …