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Forecasting seasonals and trends by exponentially weighted moving averages
Overview
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Citations
Cited by
Predicting Taxi–Passenger Demand Using Streaming Data
Moreira-Matias, L., Gama, J., Ferreira, M., Mendes-Moreira, J., & Damas, L. (2013) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2013.2262376 · Cited by 721
Business intelligence: data mining and optimization for decision making
Vercellis, C., Ahmadi, A., & Mohebi, A. (2016) · doi:10.5281/zenodo.13983826 · Cited by 398
A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem
Jiang, Z., Xu, D., & Liang, J. (2017) · arXiv · doi:10.48550/arxiv.1706.10059 · Cited by 321
Health and related indicators 2021
Ndlovu, N., Day, C., Gray, A., Busang, J., & Mureithi, L. (2022) · South African Health Review · doi:10.61473/001c.75480 · Cited by 253
Xiao, Z., Fu, X., Zhang, L., & Goh, R. S. M. (2020) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2019.2908191 · Cited by 205
Metadata
- Authors
- Holt, C. C.
- Venue
- International Journal of Forecasting
- Publisher
- Elsevier BV
- Published
- 2004-01
- Volume
- 20
- Issue
- 1
- Pages
- 5-10
- ISSN
- 0169-2070 (ISSN-L)
- OpenAlex
- W2085866051
- Cited by
- 1,721
- References
- 0
- FWCI
- 25.15
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
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- This page
- CoChat. (2026). Citation check: Forecasting seasonals and trends by exponentially weighted moving averages. https://app.cochat.ai/papers/10.1016/j.ijforecast.2003.09.015
- The paper
- Holt, C. C. (2004). Forecasting seasonals and trends by exponentially weighted moving averages. International Journal of Forecasting. https://doi.org/10.1016/j.ijforecast.2003.09.015
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
