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ロバスト共分散推定 (MCD)×Theil-Sen推定量×
分野統計学統計学
系統Regression modelRegression model
提唱年19991968
提唱者Rousseeuw; Rousseeuw & Van Driessen (Fast-MCD)Henri Theil (1950); P. K. Sen (1968)
種類Robust multivariate location-scatter estimatorRobust linear regression
原典Rousseeuw, P. J. & Van Driessen, K. (1999). A Fast Algorithm for the Minimum Covariance Determinant Estimator. Technometrics, 41(3), 212-223. DOI ↗Sen, P. K. (1968). Estimates of the Regression Coefficient Based on Kendall's Tau. Journal of the American Statistical Association, 63(324), 1379-1389. DOI ↗
別名minimum covariance determinant, MCD estimator, robust covariance estimation, Robust Kovaryans Tahmini (MCD)Theil-Sen Tahmincisi, Theil-Sen regression, median slope estimator, Sen's slope estimator
関連46
概要Robust Covariance via the Minimum Covariance Determinant (MCD) estimates a multivariate mean vector and covariance matrix that are not distorted by outliers. It was made practical by the Fast-MCD algorithm of Rousseeuw and Van Driessen (1999), building on Rousseeuw's earlier work on robust estimation.The Theil-Sen estimator is a robust linear regression method that estimates the slope as the median of the slopes computed over all pairs of data points. Introduced by Henri Theil in 1950 and extended by P. K. Sen in 1968, it tolerates outliers in the response with a breakdown point of about 29%.
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ScholarGate手法を比較: Robust Covariance (MCD) · Theil-Sen Estimator. 2026-06-19に以下より取得 https://scholargate.app/ja/compare