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keywords = {demand forecasting, inventory management, intermittent demand, aggregation, empirical investigation},
author = {Konstantinos Nikolopoulos and Aris Syntetos and Boylan, {J E} and Fotios Petropoulos and Vassilios Assimakopoulos},
year = {2011},
doi = {10.1057/jors.2010.32},
volume = {62},
pages = {544--554},
journal = {Journal of the Operational Research Society},
issn = {0160-5682},
publisher = {Palgrave Macmillan},
number = {3}
}
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author = {R H Teunter and L Duncan},
title = {Forecasting intermittent demand: a comparative study},
journal = {Journal of the Operational Research Society},
volume = {60},
number = {3},
pages = {321-329},
year = {2009},
publisher = {Taylor & Francis},
doi = {10.1057/palgrave.jors.2602569},
URL = {
https://doi.org/10.1057/palgrave.jors.2602569},
eprint = {
https://doi.org/10.1057/palgrave.jors.2602569}
}
@article{croston1972zero_inflated,
title={Forecasting and stock control for intermittent demands},
author={Croston, John D},
journal={Journal of the Operational Research Society},
volume={23},
number={3},
pages={289--303},
year={1972},
publisher={Taylor \& Francis}
}
@article{lambert1992zero_inflated_poisson,
author = {Diane Lambert},
title = {{Zero-Inflated Poisson Regression, With an Application to Defects in Manufacturing}},
journal = {Technometrics},
volume = {34},
number = {1},
pages = {1-14},
year = {1992},
publisher = {Taylor & Francis},
doi = {10.1080/00401706.1992.10485228},
url = {
https://www.tandfonline.com/doi/abs/10.1080/00401706.1992.10485228},
eprint = {
https://www.tandfonline.com/doi/pdf/10.1080/00401706.1992.10485228}
}