The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Comparing the predictive accuracy of models using a simple randomization test
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Citations
Cites
Cross-Validatory Estimation of the Number of Components in Factor and Principal Components Models
Wold, S. (1978) · Technometrics · doi:10.1080/00401706.1978.10489693 · Cited by 2,601
Haaland, D. M., & Thomas, E. V. (1988) · Analytical Chemistry · doi:10.1021/ac00162a020 · Cited by 2,539
Cross-Validatory Choice of the Number of Components From a Principal Component Analysis
Eastment, H. T., & Krzanowski, W. J. (1982) · Technometrics · doi:10.1080/00401706.1982.10487712 · Cited by 379
Mean squared error of prediction as a criterion for evaluating and comparing system models
Wallach, D., & Goffinet, B. (1989) · Ecological Modelling · doi:10.1016/0304-3800(89)90035-5 · Cited by 315
Selection of optimal regression models via cross‐validation
Osten, D. W. (1988) · Journal of Chemometrics · doi:10.1002/cem.1180020106 · Cited by 275
Scoring Rules and the Evaluation of Probability Assessors
Winkler, R. L. (1969) · Journal of the American Statistical Association · doi:10.1080/01621459.1969.10501037 · Cited by 271
A test of significance for partial least squares regression
Wakeling, I., & Morris, J. J. (1993) · Journal of Chemometrics · doi:10.1002/cem.1180070407 · Cited by 126
Tlie Measurement of Performance in Probabilistic Diagnosis
Hilden, J., Habbema, J. D. F., & Bjerregaard, B. E. (1978) · Methods of Information in Medicine · doi:10.1055/s-0038-1636443 · Cited by 126
Statistical thinking and technique for QSAR and related studies. Part I: General theory
Stone, M., & Jonathan, P. (1993) · Journal of Chemometrics · doi:10.1002/cem.1180070603 · Cited by 31
Cited by
Eriksson, L., Jaworska, J., Worth, A. P., Cronin, M. T. D., McDowell, R. M., & Gramatica, P. (2003) · Environmental Health Perspectives · doi:10.1289/ehp.5758 · Cited by 1,325
Wehrens, R., Putter, H., & Buydens, L. M. C. (2000) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/s0169-7439(00)00102-7 · Cited by 490
Birks, H. J. B. (2011) · The Open Ecology Journal · doi:10.2174/1874213001003020068 · Cited by 389
Giessing, C., Fink, G. R., Rösler, F., & Thiel, C. M. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2007.19.4.658 · Cited by 51
Dynamic coupling of complex brain networks and dual-task behavior
Alavash, M., Thiel, C. M., & Gießing, C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.01.028 · Cited by 25
Metadata
- Authors
- van der Voet, H.
- Venue
- Chemometrics and Intelligent Laboratory Systems
- Publisher
- Elsevier BV
- Published
- 1994-11
- Volume
- 25
- Issue
- 2
- Pages
- 313-323
- ISSN
- 0169-7439 (ISSN-L)
- OpenAlex
- W2100253497
- Cited by
- 522
- References
- 9
- FWCI
- 1.95
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Comparing the predictive accuracy of models using a simple randomization test. https://app.cochat.ai/papers/10.1016/0169-7439(94)85050-x
- The paper
- van der Voet, H. (1994). Comparing the predictive accuracy of models using a simple randomization test. Chemometrics and Intelligent Laboratory Systems. https://doi.org/10.1016/0169-7439(94)85050-x
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.
