Mahalanobis distance under non-normality
STATISTICS, cilt.44, sa.3, ss.275-290, 2010 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 44 Sayı: 3
- Basım Tarihi: 2010
- Doi Numarası: 10.1080/02331880903043223
- Dergi Adı: STATISTICS
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.275-290
- Anahtar Kelimeler: covariance matrix, least squares, Mahalanobis distance, maximum likelihood, modified maximum likelihood, multivariate, non-normality, LINEAR-REGRESSION MODEL, CONFIDENCE-INTERVALS, MAXIMUM-LIKELIHOOD, ROBUST ESTIMATION, VARIANCE, DESIGN, DISTRIBUTIONS, PARAMETERS
- Orta Doğu Teknik Üniversitesi Adresli: Evet
Özet
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.