The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Cautionary Note about R2
Abstract
The coefficient of determination (R 2) is perhaps the single most extensively used measure of goodness of fit for regression models. It is also widely misused. The primary source of the problem is that except for linear models with an intercept term, the several alternative R 2 statistics are not generally equivalent. This article discusses various considerations and potential pitfalls in using the R 2's. Specific points are exemplified by means of empirical data. A new resistant statistic is also introduced.
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Cited by
A general and simple method for obtaining R 2 from generalized linear mixed‐effects models
Nakagawa, S., & Schielzeth, H. (2013) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2012.00261.x · Cited by 10,356
Ryan, M. G., Hubbard, R. M., Pongracic, S., Raison, R. J., & McMurtrie, R. E. (1996) · Tree Physiology · doi:10.1093/treephys/16.3.333 · Cited by 544
Morsdorf, F., Kötz, B., Meier, E., Itten, K. I., & Allgöwer, B. (2006) · Remote Sensing of Environment · doi:10.1016/j.rse.2006.04.019 · Cited by 470
Rights, J. D., & Sterba, S. K. (2019) · Psychological Methods · doi:10.1037/met0000184 · Cited by 413
AN EXPERIMENTAL TEST OF THE CAUSES OF FOREST GROWTH DECLINE WITH STAND AGE
Ryan, M. G., Binkley, D., Fownes, J. H., Giardina, C. P., & Senock, R. S. (2004) · Ecological Monographs · doi:10.1890/03-4037 · Cited by 396
Metadata
- Authors
- Kvålseth, T. O.
- Venue
- The American Statistician
- Publisher
- Informa UK Limited
- Published
- 1985-11
- Volume
- 39
- Issue
- 4
- Pages
- 279-285
- ISSN
- 0003-1305 (ISSN-L)
- 1537-2731
- OpenAlex
- W2057327562
- Cited by
- 990
- References
- 13
- FWCI
- 6.49
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
