The DOI matches its Crossref record.
Detecting Trends Using Spearman's Rank Correlation Coefficient
Abstract
Spearman's rank correlation coefficient is a useful tool for exploratory data analysis in environmental forensic investigations. In this application it is used to detect monotonic trends in chemical concentration with time or space.
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Citations
Cited by
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Sujath, R., Chatterjee, J. M., & Hassanien, A. E. (2020) · Stochastic Environmental Research and Risk Assessment · doi:10.1007/s00477-020-01827-8 · Cited by 339
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Metadata
- Authors
- Gauthier, T.
- Venue
- Environmental Forensics
- Publisher
- Informa UK Limited
- Published
- 2001-12
- Volume
- 2
- Issue
- 4
- Pages
- 359-362
- ISSN
- 1527-5922 (ISSN-L)
- OpenAlex
- W2031235730
- Cited by
- 513
- References
- 0
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: Detecting Trends Using Spearman's Rank Correlation Coefficient. https://app.cochat.ai/papers/10.1006/enfo.2001.0061
- The paper
- Gauthier, T. (2001). Detecting Trends Using Spearman's Rank Correlation Coefficient. Environmental Forensics. https://doi.org/10.1006/enfo.2001.0061
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.
