The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Robust estimation: A condensed partial survey
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Citations
Cites
Robust estimation of a location parameter
Huber, P. J. (1964) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177703732 · Cited by 7,228
Procedures for Detecting Outlying Observations in Samples
Grubbs, F. E. (1969) · Technometrics · doi:10.1080/00401706.1969.10490657 · Cited by 4,105
Student (1908) · Biometrika · doi:10.1093/biomet/6.1.1 · Cited by 1,363
NON-NORMALITY AND TESTS ON VARIANCES
BOX, G. E. P. (1953) · Biometrika · doi:10.1093/biomet/40.3-4.318 · Cited by 1,302
Cited by
Robust estimation and outlier detection with correlation coefficients
DEVLIN, S. J., GNANADESIKAN, R., & KETTENRING, J. R. (1975) · Biometrika · doi:10.1093/biomet/62.3.531 · Cited by 397
Robust Procedures in Multivariate Analysis I: Robust Covariance Estimation
Campbell, N. A. (1980) · Applied Statistics · doi:10.2307/2346896 · Cited by 381
Metadata
- Authors
- Hampel, F. R.
- Venue
- Zeitschrift f�r Wahrscheinlichkeitstheorie und Verwandte Gebiete
- Published
- 1973
- Volume
- 27
- Issue
- 2
- Pages
- 87-104
- ISSN
- 0178-8051 (ISSN-L)
- 0044-3719
- 1432-2064
- OpenAlex
- W1997424644
- Cited by
- 226
- References
- 4
- FWCI
- 3.69
- 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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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.
