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- Q17086853 subject Q7214699.
- Q17086853 subject Q8670947.
- Q17086853 abstract "In non-parametric statistics, there is a method for robustly fitting a line to a set of points (simple linear regression) that chooses the median slope among all lines through pairs of two-dimensional sample points. It has been called the Theil–Sen estimator, Sen's slope estimator, slope selection, the single median method, the Kendall robust line-fit method, and the Kendall–Theil robust line. It is named after Henri Theil and Pranab K. Sen, who published papers on this method in 1950 and 1968 respectively, and after Maurice Kendall.This estimator can be computed efficiently, and is insensitive to outliers. It can be significantly more accurate than non-robust simple linear regression for skewed and heteroskedastic data, and competes well against non-robust least squares even for normally distributed data in terms of statistical power. It has been called "the most popular nonparametric technique for estimating a linear trend".".
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- Q17086853 comment "In non-parametric statistics, there is a method for robustly fitting a line to a set of points (simple linear regression) that chooses the median slope among all lines through pairs of two-dimensional sample points. It has been called the Theil–Sen estimator, Sen's slope estimator, slope selection, the single median method, the Kendall robust line-fit method, and the Kendall–Theil robust line. It is named after Henri Theil and Pranab K.".
- Q17086853 label "Theil–Sen estimator".
- Q17086853 depiction Thiel-Sen_estimator.svg.
