The DOI matches its Crossref record.
Mean Square Error of Prediction as a Criterion for Selecting Variables
Abstract
The mean square error of prediction is proposed as a criterion for selecting variables. This criterion utilizes the values of the predictor variables associated with the future observation and the magnitude of the estimated variance. Mean square error is believed to be more meaningful than the commonly used criterion, the residual sum of squares.
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Citations
Cited by
Cross validatory choice and assessment of statistical predictions
Stone, M. (1974) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1974.tb00994.x · Cited by 10,881
Chicco, D., Warrens, M. J., & Jurman, G. (2021) · PeerJ Computer Science · doi:10.7717/peerj-cs.623 · Cited by 5,380
Wold, S., Ruhe, A., Wold, H., & Dunn, III (1984) · SIAM Journal on Scientific and Statistical Computing · doi:10.1137/0905052 · Cited by 2,529
The Relationship Between Variable Selection and Data Agumentation and a Method for Prediction
Allen, D. M. (1974) · Technometrics · doi:10.1080/00401706.1974.10489157 · Cited by 1,469
Self-citationComparison of Stopping Rules in Forward “Stepwise” Regression
Bendel, R. B., & Afifi, A. A. (1977) · Journal of the American Statistical Association · doi:10.1080/01621459.1977.10479905 · Cited by 885
Metadata
- Authors
- Allen, D. M.
- Venue
- Technometrics
- Publisher
- Informa UK Limited
- Published
- 1971-08
- Volume
- 13
- Issue
- 3
- Pages
- 469-475
- ISSN
- 0040-1706 (ISSN-L)
- 1537-2723
- OpenAlex
- W2049266248
- Cited by
- 691
- References
- 0
- FWCI
- 9.59
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
