A semi-parametric approach for estimating critical fractiles under autocorrelated demand
| Year of publication: |
2014
|
|---|---|
| Authors: | Lee, Yun Shin |
| Published in: |
European journal of operational research : EJOR. - Amsterdam : Elsevier, ISSN 0377-2217, ZDB-ID 243003-4. - Vol. 234.2014, 1 (1.4.), p. 163-173
|
| Subject: | Forecasting | Newsvendor model | Autocorrelated demand | Model misspecification | Forecast bias | Retail operations | Prognoseverfahren | Forecasting model | Lagerhaltungsmodell | Inventory model | Nachfrage | Demand | Autokorrelation | Autocorrelation | Einzelhandel | Retail trade | Modellierung | Scientific modelling | Schätztheorie | Estimation theory | Prognose | Forecast | Nichtparametrisches Verfahren | Nonparametric statistics | Lagermanagement | Warehouse management | Lieferkette | Supply chain | Systematischer Fehler | Bias |
-
Brüggen, Alexander, (2021)
-
Forecasting intermittent demand for inventory management by retailers : a new approach
Tian, Xin, (2021)
-
Sillanpää, Ville, (2018)
- More ...
-
Lee, Yun Shin, (2014)
-
Stock market reactions to supply chain disruptions and recovery from the 2022 Shanghai lockdown
Song, Kyunghee, (2025)
-
Investigating laypeople's short- and long-term forecasts of COVID-19 infection cycles
Koo, Moon Su, (2025)
- More ...