The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Appropriate Critical Values When Testing for a Single Multivariate Outlier by Using the Mahalanobis Distance
Abstract
Kay I. Penny, Appropriate Critical Values When Testing for a Single Multivariate Outlier by Using the Mahalanobis Distance, Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 45, No. 1 (1996), pp. 73-81
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“We found a maximum Mahalanobis distance of 13.58, under the critical value of 18.47 for MANOVAs with three dependent variables (Penny, 1996).”
From Sex Education Among Recent High School Graduates (2025) · cites this paper as Penny, 1996
Citations
Cites
A User's Guide to Principal Components
Leigh, S. D., & Jackson, J. E. (1993) · Technometrics · doi:10.2307/1269292 · Cited by 3,346
BARNETT, V. D., Lewis, T., & Abeles, F. F. (1979) · Physics Today · doi:10.1063/1.2995737 · Cited by 2,834
Principles of Multivariate Analysis
Ling, R. F., & Krzanowski, W. J. (1990) · Technometrics · doi:10.2307/1268873 · Cited by 818
The stalactite plot for the detection of multivariate outliers
Atkinson, A. C., & Mulira, H.-M. (1993) · Statistics and Computing · doi:10.1007/bf00146951 · Cited by 73
Sequential Application of Wilks's Multivariate Outlier Test
Caroni, C., & Prescott, P. (1992) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.2307/2347567 · Cited by 57
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On the meaning and use of kurtosis.
DeCarlo, L. T. (1997) · Psychological Methods · doi:10.1037/1082-989x.2.3.292 · Cited by 1,767
A simple more general boxplot method for identifying outliers
Schwertman, N. C., Owens, M. A., & Adnan, R. (2003) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2003.10.012 · Cited by 348
The Politecnico di Torino rolling bearing test rig: Description and analysis of open access data
Daga, A. P., Fasana, A., Marchesiello, S., & Garibaldi, L. (2018) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2018.10.010 · Cited by 256
Data, M. C. (2020) · OAPEN (The OAPEN Foundation) · doi:10.1007/978-3-319-43742-2 · Cited by 273
Outlier detection in the multiple cluster setting using the minimum covariance determinant estimator
Hardin, J., & Rocke, D. M. (2003) · Computational Statistics & Data Analysis · doi:10.1016/s0167-9473(02)00280-3 · Cited by 237
Metadata
- Authors
- Penny, K. I.
- Affiliations
- University of Aberdeen (GB)
- Corresponding author
- Penny, Kay I.
- ORCID
- Penny, Kay I.
- Venue
- Applied Statistics
- Publisher
- JSTOR
- Published
- 1996
- Volume
- 45
- Issue
- 1
- Pages
- 73
- ISSN
- 0035-9254 (ISSN-L)
- OpenAlex
- W165229505
- Cited by
- 214
- References
- 5
- Citations by year
- 2026: 5 · 2025: 13 · 2024: 10 · 2023: 13 · 2022: 14 · 2021: 14 · 2020: 17 · 2019: 8 · 2018: 13 · 2017: 13 · 2016: 13 · 2015: 4 · 2014: 5 · 2013: 8 · 2012: 6
- FWCI
- 4.06
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the Royal Statistical Society Series C (Applied Statistics) (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Anomaly Detection Techniques and Applications
- Keywords
- multivariate outliers, Mahalanobis distance, critical values, outlier detection, multivariate normal distribution
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