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Title
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A robust hotelling test
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Author
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Abstract
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| Hotelling's T-2 statistic is an important tool for inference about the center of a multivariate normal population. However, hypothesis tests and confidence intervals based on this statistic can be adversely affected by outliers. Therefore, we construct an alternative inference technique based on a statistic which uses the highly robust MCD estimator (Rousseeuw, 1984) instead of the classical mean and covariance matrix. Recently, a fast algorithm was constructed to compute the MCD (Rousseeuw and Van Driessen, 1999). In our test statistic we use the reweighted MCD, which has a higher efficiency. The distribution of this new statistic differs from the classical one. Therefore, the key problem is to find a good approximation for this distribution. Similarly to the classical T-2 distribution, we obtain a multiple of a certain F-distribution. A Monte Carlo study shows that this distribution is an accurate approximation of the true distribution. Finally, the power and the robustness of the one-sample test based on our robust T-2 are investigated through simulation. |
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Language
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English
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Source (journal)
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Developments in robust statistics
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Source (book)
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International Conference on Robust Statistics (ICOR 2001), JUL 23-27, 2001, VORAU, AUSTRIA
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Publication
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2003
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ISBN
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3-7908-1518-7
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Volume/pages
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(2003)
, p. 417-431
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ISI
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000179943000036
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