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Mean squared error of prediction as a criterion for evaluating and comparing system models
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Research works printed but not linked: 9
- Cabelguenne, 1986, Conduite des systèmes de grandes cultures et prévision des rendements: Tentatives de modélisation. II. Etalonage du modèle: resultats et perspectives, C.R. Acad. Agric. Fr., 72, 125
- Dent, 1979, Systems Simulation in Agriculture, Applied Science, 180
- Efron, 1983, Estimating the error rate of a prediction rule: improvement on cross-validation, J. Am. Stat. Assoc., 78, 316, 10.2307/2288636 · DOI
- Feldman, 1984, Statistical procedure for validating a simple population model, Environ. Entomol., 13, 1446, 10.1093/ee/13.5.1446 · DOI
- Picard, 1984, Cross validation of regression models, J. Am. Stat. Soc., 79, 575, 10.1080/01621459.1984.10478083 · DOI · Paper page
- Reynolds, 1982, Comparison of some tests for validation of stochastic simulation models, Comm. Stat. Simul. Comput., 11, 769, 10.1080/03610918208812294 · DOI
- Snee, 1977, Validation of regression models: methods and examples, Technometrics, 19, 415, 10.2307/1267881 · DOI
- Wallach, 1987, Mean squared error of prediction in models for studying ecological and agronomic systems, Biometrics, 43, 561, 10.2307/2531995 · doi:10.2307/2531995
- Williams, 1984, A modelling approach to determining the relationship between erosion and soil productivity, Trans. ASAE, 27, 129, 10.13031/2013.32748 · DOI · Paper page
Cited by
How to evaluate models: Observed vs. predicted or predicted vs. observed?
Piñeiro, G., Perelman, S., Guerschman, J. P., & Paruelo, J. M. (2008) · Ecological Modelling · doi:10.1016/j.ecolmodel.2008.05.006 · Cited by 891
Comparing the predictive accuracy of models using a simple randomization test
van der Voet, H. (1994) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/0169-7439(94)85050-x · Cited by 522
Handelman, G. S., Kok, H. K., Chandra, R. V., Razavi, A. H., Huang, S., Brooks, M., Lee, M. J., & Asadi, H. (2019) · American Journal of Roentgenology · doi:10.2214/ajr.18.20224 · Cited by 406
Model Evaluation by Comparison of Model‐Based Predictions and Measured Values
Gauch, H. G., Hwang, J. T. G., & Fick, G. W. (2003) · Agronomy Journal · doi:10.2134/agronj2003.1442 · Cited by 317
The predictive validation of ecological and environmental models
Power, M. (1993) · Ecological Modelling · doi:10.1016/0304-3800(93)90106-3 · Cited by 301
Metadata
- Authors
- Wallach, D., & Goffinet, B.
- Venue
- Ecological Modelling
- Publisher
- Elsevier BV
- Published
- 1989-01
- Volume
- 44
- Issue
- 3-4
- Pages
- 299-306
- ISSN
- 0304-3800 (ISSN-L)
- OpenAlex
- W1985744509
- Cited by
- 315
- References
- 0
- FWCI
- 5.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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- CoChat. (2026). Citation check: Mean squared error of prediction as a criterion for evaluating and comparing system models. https://app.cochat.ai/papers/10.1016/0304-3800(89)90035-5
- The paper
- Wallach, D., & Goffinet, B. (1989). Mean squared error of prediction as a criterion for evaluating and comparing system models. Ecological Modelling. https://doi.org/10.1016/0304-3800(89)90035-5
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.
