Mahalanobis Distance Under Non-Normality

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Abstract

We give a novel estimator of Mahalanobis distance D2 between two non-normal populations. We show that it is enormously more efficient and robust than the traditional estimator based on least squares estimators. We give a test statistic for testing that D2=0 and study its power and robustness properties.

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Keywords

Covariance Matrix, Least Squares, Mahalanobis Distance, Maximum Likelihood, Modified Maximum Likelihood, Multivariate, Non-Normality

Fields of Science

0502 economics and business, 05 social sciences, 0101 mathematics, 01 natural sciences

Citation

Islam, Q. (2010). Mahalanobis distance under non-normality. Statistics: A Journal of Theoretical and Applied Statistics, 44(3), 275-290. http://dx.doi.org/10.1080/02331880903043223

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3

Volume

44

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3

Start Page

275

End Page

290
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Scopus : 6

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Mendeley Readers : 26

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6

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4

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3

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