A major obstacle to wider adoption of the newsvendor model is the difficulty of obtaining its key input---the demand … of demand quantity from a panel of experts and uses the degree of disagreement between experts as a proxy for demand … based on a tripartite decomposition of the demand vector into total demand, ordered proportions, and ranking. We also …

propose a suitable model for accurately predicting the extreme right tail of the demand distribution, rather than providing …

We demonstrate that annual peak demand days are characterized by both extreme values of predictors (such as weather …) and large unpredictable "shocks" to demand. OLS approaches incorporate the former feature, but not the latter, leading OLS … quantile regression (OFQR), that uses quantile regression to estimate a model of daily peak demand, then uses a loss function …