Cited by 215Advanced Statistical Methods and ModelsStatistical Methods and ApplicationsAnomaly Detection Techniques and Applications

Appropriate Critical Values When Testing for a Single Multivariate Outlier by Using the Mahalanobis Distance

Penny, Kay I.·1996·Applied Statistics

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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Crossref · 10.2307/2986224

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5 of 5 references verified0 citation errors · 0 not checkable

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  • A maximum Mahalanobis distance of 13.58 was found, under the critical value of 18.47 for MANOVAs with three dependent variables.

    “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

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Authors
Penny, K. I.
Affiliations
University of Aberdeen (GB)
Corresponding author
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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