विधियों की तुलना करें

	थेल-सेन अनुमानक	क्रमचय (यादृच्छिकीकरण) परीक्षण
क्षेत्र	सांख्यिकी	सांख्यिकी
परिवार	Regression model	Regression model
उद्भव वर्ष	1968	2005
प्रवर्तक	Henri Theil (1950); P. K. Sen (1968)	Good (2005); Edgington & Onghena (2007); resampling tradition
प्रकार	Robust linear regression	Nonparametric resampling test
मौलिक स्रोत	Sen, P. K. (1968). Estimates of the Regression Coefficient Based on Kendall's Tau. Journal of the American Statistical Association, 63(324), 1379-1389.	Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792
उपनाम	Theil-Sen Tahmincisi, Theil-Sen regression, median slope estimator, Sen's slope estimator	randomization test, exact permutation test, re-randomization test, Permütasyon Testi
संबंधित	6	5
सारांश	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%.	The permutation test is a nonparametric resampling procedure that builds the sampling distribution of a test statistic directly from the data by repeatedly shuffling the group labels. Developed in the resampling tradition and treated systematically by Good (2005) and Edgington & Onghena (2007), it requires no parametric distributional assumption and yields an exact p-value.