The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Accuracy measures: theoretical and practical concerns
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Citations
Cites
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
Self-citationError measures for generalizing about forecasting methods: Empirical comparisons
Armstrong, J. S., & Collopy, F. (1992) · International Journal of Forecasting · doi:10.1016/0169-2070(92)90008-w · Cited by 1,396
Accuracy of Forecasting: An Empirical Investigation
Makridakis, S., Hibon, M., & Moser, C. (1979) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2345077 · Cited by 514
Self-citationThe evaluation of extrapolative forecasting methods
Fildes, R. (1992) · International Journal of Forecasting · doi:10.1016/0169-2070(92)90009-x · Cited by 265
The art and science of forecasting An assessment and future directions
Makridakis, S. (1986) · International Journal of Forecasting · doi:10.1016/0169-2070(86)90028-2 · Cited by 131
Self-citationApples, oranges and mean square error
Chatfield, C. (1988) · International Journal of Forecasting · doi:10.1016/0169-2070(88)90127-6 · Cited by 84
Error measures and the choice of a forecast method
Ahlburg, D. A. (1992) · International Journal of Forecasting · doi:10.1016/0169-2070(92)90010-7 · Cited by 65
Forecasting and loss functions
Fildes, R. A., & Makridakis, S. (1988) · International Journal of Forecasting · doi:10.1016/0169-2070(88)90131-8 · Cited by 52
Self-citation
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
Chicco, D., Warrens, M. J., & Jurman, G. (2021) · PeerJ Computer Science · doi:10.7717/peerj-cs.623 · Cited by 5,380
Predictive model assessment in PLS-SEM: guidelines for using PLSpredict
Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J.-H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019) · European Journal of Marketing · doi:10.1108/ejm-02-2019-0189 · Cited by 4,618
Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing
De Livera, A. M., Hyndman, R. J., & Snyder, R. D. (2011) · Journal of the American Statistical Association · doi:10.1198/jasa.2011.tm09771 · Cited by 1,049
Principles of Forecasting: A Handbook for Researchers and Practitioners
(2001) · International Series in Operations Research & Management Science · doi:10.1007/978-0-306-47630-3 · Cited by 1,041
Metadata
- Authors
- Makridakis, S.
- Venue
- International Journal of Forecasting
- Publisher
- Elsevier BV
- Published
- 1993-12
- Volume
- 9
- Issue
- 4
- Pages
- 527-529
- ISSN
- 0169-2070 (ISSN-L)
- OpenAlex
- W2032927332
- Cited by
- 869
- References
- 8
- FWCI
- 2.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Accuracy measures: theoretical and practical concerns. https://app.cochat.ai/papers/10.1016/0169-2070(93)90079-3
- The paper
- Makridakis, S. (1993). Accuracy measures: theoretical and practical concerns. International Journal of Forecasting. https://doi.org/10.1016/0169-2070(93)90079-3
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.
