विधियों की तुलना करें

	Sn and Qn Scale Estimators	क्वांटाइल रिग्रेशन
क्षेत्र	सांख्यिकी	अर्थमिति
परिवार	Regression model	Regression model
उद्भव वर्ष	1993	1978
प्रवर्तक	Rousseeuw & Croux	Koenker & Bassett
प्रकार	Robust scale estimator	Conditional quantile regression
मौलिक स्रोत	Rousseeuw, P. J., & Croux, C. (1993). Alternatives to the Median Absolute Deviation. Journal of the American Statistical Association, 88(424), 1273-1283.	Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50.
उपनाम	Sn estimator, Qn estimator, Rousseeuw-Croux scale estimators, robust scale estimation	conditional quantile regression, regression quantiles, Kantil Regresyon
संबंधित	5	5
सारांश	Sn and Qn are robust estimators of scale (spread) proposed by Rousseeuw and Croux (1993) as alternatives to the median absolute deviation (MAD). Both attain a 50% breakdown point while delivering higher statistical efficiency than MAD, so they measure dispersion accurately even when the data contain outliers.	Quantile regression models conditional quantiles of an outcome - the median, the 25th or 75th percentile, and so on - rather than the conditional mean that OLS targets. Introduced by Koenker and Bassett in 1978, it reveals how predictors act across the whole distribution, including its tails.