The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Outlier Detection for Compositional Data Using Robust Methods
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Citations
Cites
The Statistical Analysis of Compositional Data
Aitchison, J. (1986) · doi:10.1007/978-94-009-4109-0 · Cited by 4,383
Cited by
Principal component analysis for compositional data with outliers
Filzmoser, P., Hron, K., & Reimann, C. (2009) · Environmetrics · doi:10.1002/env.966 · Cited by 548
Self-citationUnivariate statistical analysis of environmental (compositional) data: Problems and possibilities
Filzmoser, P., Hron, K., & Reimann, C. (2009) · Science of The Total Environment · doi:10.1016/j.scitotenv.2009.08.008 · Cited by 447
Self-citationrobCompositions: An R‐package for Robust Statistical Analysis of Compositional Data
Templ, M., Hron, K., & Filzmoser, P. (2011) · Compositional Data Analysis · doi:10.1002/9781119976462.ch25 · Cited by 372
Self-citationCarranza, E. J. M. (2011) · Journal of Geochemical Exploration · doi:10.1016/j.gexplo.2011.05.007 · Cited by 344
Imputation of missing values for compositional data using classical and robust methods
Hron, K., Templ, M., & Filzmoser, P. (2010) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2009.11.023 · Cited by 301
Self-citation
Metadata
- Authors
- Filzmoser, P., & Hron, K.
- Venue
- Mathematical Geosciences
- Published
- 2008-01-22
- Volume
- 40
- Issue
- 3
- Pages
- 233-248
- ISSN
- 1874-8953 (ISSN-L)
- 1874-8961
- OpenAlex
- W2120323899
- Cited by
- 225
- References
- 1
- FWCI
- 9.31
- Type
- journal article
- Language
- en
- Open access
- closed
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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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- The paper
- Filzmoser, P., & Hron, K. (2008). Outlier Detection for Compositional Data Using Robust Methods. Mathematical Geosciences. https://doi.org/10.1007/s11004-007-9141-5
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.
