विधियों की तुलना करें

	रैन्सैक रिग्रेशन	क्वांटाइल रिग्रेशन
क्षेत्र	सांख्यिकी	अर्थमिति
परिवार	Regression model	Regression model
उद्भव वर्ष	1981	1978
प्रवर्तक	Fischler & Bolles	Koenker & Bassett
प्रकार	Robust linear regression	Conditional quantile regression
मौलिक स्रोत	Fischler, M. A. & Bolles, R. C. (1981). Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography. Communications of the ACM, 24(6), 381-395.	Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50.
उपनाम	random sample consensus, RANSAC, robust regression, RANSAC Regresyonu	conditional quantile regression, regression quantiles, Kantil Regresyon
संबंधित	5	5
सारांश	RANSAC Regression is a robust linear regression method introduced by Fischler and Bolles in 1981 that fits a model to the inlier points of a dataset while automatically excluding outliers. Instead of fitting all the data at once, it repeatedly samples small subsets, fits a candidate model, and keeps the model that wins the largest consensus of agreeing points.	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.