পদ্ধতির তুলনা করুন

	Sn and Qn Scale Estimators	কোয়ান্টাইল রিগ্রেশন
ক্ষেত্র	পরিসংখ্যান	অর্থমিতি
পরিবার	Regression model	Regression model
উদ্ভবের বছর	1993	1978
প্রবর্তক	Rousseeuw & Croux	Koenker & Bassett
ধরন	Robust scale estimator	Conditional quantile regression
মৌলিক উৎস	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.
অপর নাম	Sn estimator, Qn estimator, Rousseeuw-Croux scale estimators, robust scale estimation	conditional quantile regression, regression quantiles, Kantil Regresyon
সম্পর্কিত	5	5
সারসংক্ষেপ	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.