The DOI matches its Crossref record.
Modern Applied Statistics with S-Plus.
Open accessAbstract
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Citations
Cited by
Deep Residual Learning for Image Recognition
He, K., Zhang, X., Ren, S., & Sun, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.90 · Cited by 235,474
“An early practice of training multi-layer perceptrons (MLPs) is to add a linear layer connected from the network input to the output [34, 49].”
BackgroundPredictive habitat distribution models in ecology
Guisan, A., & Zimmermann, N. E. (2000) · Ecological Modelling · doi:10.1016/s0304-3800(00)00354-9 · Cited by 7,359
Deep Residual Learning for Image Recognition
He, K., Zhang, X., Ren, S., & Sun, J. (2015) · arXiv · doi:10.48550/arxiv.1512.03385 · Cited by 4,196
“An early practice of training multi-layer perceptrons (MLPs) is to add a linear layer connected from the network input to the output [34, 49].”
BackgroundMultivariable association discovery in population-scale meta-omics studies
Mallick, H., Rahnavard, A., McIver, L. J., Ma, S., Zhang, Y., Nguyen, L. H., Tickle, T. L., Weingart, G., Ren, B., Schwager, E. H., et al. (2021) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1009442 · Cited by 2,596
Strobl, C., Malley, J., & Tutz, G. (2009) · Psychological Methods · doi:10.1037/a0016973 · Cited by 2,583
Metadata
- Authors
- Venables, W. N., & Ripley, B. D.
- Venue
- Biometrics
- Publisher
- JSTOR
- Published
- 1996-12
- Volume
- 52
- Issue
- 4
- Pages
- 1528
- ISSN
- 0006-341X (ISSN-L)
- OpenAlex
- W2328425223
- Cited by
- 2,994
- References
- 0
- FWCI
- 140.82
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Modern Applied Statistics with S-Plus. https://app.cochat.ai/papers/10.2307/2532871
- The paper
- Venables, W. N., & Ripley, B. D. (1996). Modern Applied Statistics with S-Plus. Biometrics. https://doi.org/10.2307/2532871
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.
