Professor Kostas Nikolopoulos kostas.nikolopoulos@durham.ac.uk
Professor
An aggregate–disaggregate intermittent demand approach (ADIDA) to forecasting: an empirical proposition and analysis
Nikolopoulos, K; Syntetos, AA; Boylan, JE; Petropoulos, F; Assimakopoulos, V
Authors
AA Syntetos
JE Boylan
F Petropoulos
V Assimakopoulos
Citation
Nikolopoulos, K., Syntetos, A., Boylan, J., Petropoulos, F., & Assimakopoulos, V. (2011). An aggregate–disaggregate intermittent demand approach (ADIDA) to forecasting: an empirical proposition and analysis. Journal of the Operational Research Society, 62(3), https://doi.org/10.1057/jors.2010.32
| Journal Article Type | Article |
|---|---|
| Publication Date | 2011 |
| Deposit Date | Oct 14, 2020 |
| Journal | Journal of the Operational Research Society |
| Print ISSN | 0160-5682 |
| Electronic ISSN | 1476-9360 |
| Publisher | Taylor and Francis Group |
| Volume | 62 |
| Issue | 3 |
| DOI | https://doi.org/10.1057/jors.2010.32 |
| Public URL | https://durham-repository.worktribe.com/output/1290163 |
You might also like
Forecasting the success of International Joint Ventures
(2024)
Presentation / Conference Contribution
Insights into accuracy of social scientists' forecasts of societal change
(2023)
Journal Article
Fathoming empirical forecasting competitions’ winners
(2022)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search