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Msaidizi
Regression model

Umbali Imara wa Mahalanobis

Umbali Imara wa Mahalanobis huashiria vipengele vya nje vya multivariate kwa kupima umbali wa kila uchunguzi kutoka katikati ya data kwa kutumia makadirio thabiti ya korelashini. Unajengwa juu ya mfumo wa umbali thabiti wa Rousseeuw na Van Zomeren (1990) na mbinu ya ugunduzi wa vipengele vya nje vya multivariate ya Filzmoser, Garrett na Reimann (2005), ukibadilisha maana ya kawaida na korelashini na makadirio ya Kiwango cha Chini cha Korelashini (MCD) ili vipengele vya nje vyenyewe visipotoshe umbali.

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Vyanzo

  1. Rousseeuw, P. J. & Van Zomeren, B. C. (1990). Unmasking Multivariate Outliers and Leverage Points. Journal of the American Statistical Association, 85(411), 633-639. DOI: 10.1080/01621459.1990.10474920
  2. Filzmoser, P., Garrett, R. G. & Reimann, C. (2005). Multivariate Outlier Detection in Exploration Geochemistry. Computational Statistics & Data Analysis, 49(2), 561-587. DOI: 10.1016/j.cageo.2004.11.013

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 1). Robust Mahalanobis Distance (MCD-based Multivariate Outlier Detection). ScholarGate. https://scholargate.app/sw/statistics/mahalanobis-robust

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Linganisha bega kwa bega
ScholarGateRobust Mahalanobis Distance (Robust Mahalanobis Distance (MCD-based Multivariate Outlier Detection)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/statistics/mahalanobis-robust · Seti ya data: https://doi.org/10.5281/zenodo.20539026