The DOI matches its Crossref record.
Modern Applied Statistics with S-PLUS
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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
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
Changes in fire and climate in the eastern Iberian Peninsula (Mediterranean basin).
Pausas, J. G. (2004) · Climatic Change · doi:10.1023/b:clim.0000018508.94901.9c · Cited by 798
Kissane, D. W., Bloch, S., Smith, G. C., Miach, P., Clarke, D. M., Ikin, J., Love, A., Ranieri, N., & McKenzie, D. (2003) · Psycho-Oncology · doi:10.1002/pon.683 · Cited by 306
Marchetti, M. P., Moyle, P. B., & Levine, R. (2004) · Freshwater Biology · doi:10.1111/j.1365-2427.2004.01202.x · Cited by 272
Metadata
- Authors
- Venables, W. N., & Ripley, B. D.
- Venue
- Statistics and Computing
- Publisher
- Springer New York
- Published
- 1999
- ISSN
- 1431-8784 (ISSN-L)
- OpenAlex
- W4242212377
- Cited by
- 978
- References
- 0
- FWCI
- 20.42
- Type
- book
- 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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Modern Applied Statistics with S-PLUS. https://app.cochat.ai/papers/10.1007/978-1-4757-3121-7
- The paper
- Venables, W. N., & Ripley, B. D. (1999). Modern Applied Statistics with S-PLUS. Statistics and Computing. https://doi.org/10.1007/978-1-4757-3121-7
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.
