The DOI matches its Crossref record.
Applied Linear Regression.
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Citations
Cited by
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Viechtbauer, W., & Cheung, M. W.-L. (2010) · Research Synthesis Methods · doi:10.1002/jrsm.11 · Cited by 2,949
Classification in the Presence of Label Noise: A Survey
Frenay, B., & Verleysen, M. (2014) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2013.2292894 · Cited by 1,777
Assessment and Propagation of Model Uncertainty
Draper, D. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02015.x · Cited by 1,599
Active Learning with Statistical Models
Cohn, D. A., Ghahramani, Z., & Jordan, M. I. (1996) · Journal of Artificial Intelligence Research · doi:10.1613/jair.295 · Cited by 1,317
Inferring evolutionary processes from phylogenies
PAGEL, M. (1997) · Zoologica Scripta · doi:10.1111/j.1463-6409.1997.tb00423.x · Cited by 1,106
Metadata
- Authors
- Chatfield, C., & Weisberg, S.
- Venue
- Journal of the Royal Statistical Society. Series A (General)
- Publisher
- JSTOR
- Published
- 1986
- Volume
- 149
- Issue
- 3
- Pages
- 279
- ISSN
- 0035-9238 (ISSN-L)
- OpenAlex
- W3016133651
- Cited by
- 1,365
- References
- 0
- FWCI
- 26.24
- 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.
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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: Applied Linear Regression. https://app.cochat.ai/papers/10.2307/2981572
- The paper
- Chatfield, C., & Weisberg, S. (1986). Applied Linear Regression. Journal of the Royal Statistical Society. Series A (General). https://doi.org/10.2307/2981572
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.