id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
dem-11733	Bruzda, Joanna	Quantile Forecasting in Operational Planning and Inventory Management – an Initial Empirical Verification	2016	16	.pdf	application/pdf	7858	280	65	Quantile Forecasting in Operational Planning and Inventory Management There are numerous procedures of computing quantile forecasts, encom- passing parametric, semiparametric and nonparametric methods, approaches utilizing ex ante and ex post forecast errors, and non-simulation- and simula- tion-based (bootstrap and parametric Monte Carlo) procedures. Among other characteristics of quantile predictions in operational plan- ning are the following:  computation of quantile forecasts for a range of quantiles instead of just extreme quantiles,  simultaneous forecasting of a large number of univariate time series and, due to this, the focus on simplified methods  forecasting based on relatively short time series  the need to simultaneously model the conditional mean and conditional variance of time series  the necessity to compute long-term quantile forecasts or, alternatively, quantile forecasts for different sampling rates.	cache/dem-11733.pdf	txt/dem-11733.txt
