The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Key Concepts in Model Selection: Performance and Generalizability
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Citations
Cites
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
Estimating the Dimension of a Model
Schwarz, G. (1978) · The Annals of Statistics · doi:10.1214/aos/1176344136 · Cited by 47,033
Judgment under Uncertainty: Heuristics and Biases
Tversky, A., & Kahneman, D. (1975) · Utility, Probability, and Human Decision Making · doi:10.1007/978-94-010-1834-0_8 · Cited by 22,650
On Information and Sufficiency
Kullback, S., & Leibler, R. A. (1951) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177729694 · Cited by 20,193
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
The Logic of Scientific Discovery
(2013) · A Realist Theory of Science · doi:10.4324/9780203090732-9 · Cited by 7,731
The Logic of Scientific Discovery.
Hutchison, T. W., & Popper, K. R. (1959) · Economica · doi:10.2307/2550489 · Cited by 7,499
On the psychology of prediction.
Kahneman, D., & Tversky, A. (1973) · Psychological Review · doi:10.1037/h0034747 · Cited by 6,202
Mathematical Methods of Statistics.
Geary, R. C., & Cramer, H. (1947) · The Economic Journal · doi:10.2307/2226151 · Cited by 5,927
Bozdogan, H. (1987) · Psychometrika · doi:10.1007/bf02294361 · Cited by 4,468
Cited by
Multimodel Inference: Understanding AIC and BIC in Model Selection
Burnham, K. P., & Anderson, D. R. (2004) · Sociological Methods & Research · doi:10.1177/0049124104268644 · Cited by 11,648
Posada, D., & Buckley, T. R. (2004) · Systematic Biology · doi:10.1080/10635150490522304 · Cited by 3,927
AIC model selection using Akaike weights
Wagenmakers, E.-J., & Farrell, S. (2004) · Psychonomic Bulletin & Review · doi:10.3758/bf03206482 · Cited by 2,684
A practical solution to the pervasive problems ofp values
Wagenmakers, E.-J. (2007) · Psychonomic Bulletin & Review · doi:10.3758/bf03194105 · Cited by 2,490
Integrating Theories of Motivation
Steel, P., & König, C. J. (2006) · Academy of Management Review · doi:10.5465/amr.2006.22527462 · Cited by 776
Metadata
- Authors
- Forster, M. R.
- Venue
- Journal of Mathematical Psychology
- Publisher
- Elsevier BV
- Published
- 2000-03
- Volume
- 44
- Issue
- 1
- Pages
- 205-231
- ISSN
- 0022-2496 (ISSN-L)
- OpenAlex
- W2087414659
- Cited by
- 384
- References
- 38
- FWCI
- 10.88
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: Key Concepts in Model Selection: Performance and Generalizability. https://app.cochat.ai/papers/10.1006/jmps.1999.1284
- The paper
- Forster, M. R. (2000). Key Concepts in Model Selection: Performance and Generalizability. Journal of Mathematical Psychology. https://doi.org/10.1006/jmps.1999.1284
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.
