The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Exponential smoothing model selection for forecasting
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Citations
Cites
Estimating the Dimension of a Model
Schwarz, G. (1978) · The Annals of Statistics · doi:10.1214/aos/1176344136 · Cited by 47,033
Information Theory and an Extension of the Maximum Likelihood Principle
Akaike, H. (1998) · Springer Series in Statistics · doi:10.1007/978-1-4612-1694-0_15 · Cited by 17,781
Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
Golub, G. H., Heath, M., & Wahba, G. (1979) · Technometrics · doi:10.1080/00401706.1979.10489751 · Cited by 3,934
The Determination of the Order of an Autoregression
Hannan, E. J., & Quinn, B. G. (1979) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1979.tb01072.x · Cited by 2,992
Forecasting methods and applications
(1993) · Computers & Operations Research · doi:10.1016/0305-0548(93)90040-p · Cited by 2,393
Forecasting Sales by Exponentially Weighted Moving Averages
Winters, P. R. (1960) · Management Science · doi:10.1287/mnsc.6.3.324 · Cited by 2,108
The M3-Competition: results, conclusions and implications
Makridakis, S., & Hibon, M. (2000) · International Journal of Forecasting · doi:10.1016/s0169-2070(00)00057-1 · Cited by 1,695
The accuracy of extrapolation (time series) methods: Results of a forecasting competition
Makridakis, S., Andersen, A., Carbone, R., Fildes, R., Hibon, M., Lewandowski, R., Newton, J., Parzen, E., & Winkler, R. (1982) · Journal of Forecasting · doi:10.1002/for.3980010202 · Cited by 1,462
Exponential smoothing: The state of the art
Gardner, E. S. (1985) · Journal of Forecasting · doi:10.1002/for.3980040103 · Cited by 1,458
Statistical predictor identification
Akaike, H. (1970) · Annals of the Institute of Statistical Mathematics · doi:10.1007/bf02506337 · Cited by 1,250
Cited by
Another look at measures of forecast accuracy
Hyndman, R. J., & Koehler, A. B. (2006) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2006.03.001 · Cited by 5,757
Self-citationStock Market Analysis: A Review and Taxonomy of Prediction Techniques
Shah, D., Isah, H., & Zulkernine, F. (2019) · International Journal of Financial Studies · doi:10.3390/ijfs7020026 · Cited by 465
Metadata
- Authors
- Billah, B., King, M. L., Snyder, R. D., & Koehler, A. B.
- Venue
- International Journal of Forecasting
- Publisher
- Elsevier BV
- Published
- 2006-04
- Volume
- 22
- Issue
- 2
- Pages
- 239-247
- ISSN
- 0169-2070 (ISSN-L)
- OpenAlex
- W1983971157
- Cited by
- 279
- References
- 19
- FWCI
- 5.75
- 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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- CoChat. (2026). Citation check: Exponential smoothing model selection for forecasting. https://app.cochat.ai/papers/10.1016/j.ijforecast.2005.08.002
- The paper
- Billah, B., King, M. L., Snyder, R. D., & Koehler, A. B. (2006). Exponential smoothing model selection for forecasting. International Journal of Forecasting. https://doi.org/10.1016/j.ijforecast.2005.08.002
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.
