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Prostorová regrese (modely prostorového zpoždění a prostorových chyb)×Kvantilová regrese×
OborEkonometrieEkonometrie
RodinaRegression modelRegression model
Rok vzniku19881978
TvůrceLuc AnselinKoenker & Bassett
TypSpatial regression (cross-sectional)Conditional quantile regression
Původní zdrojAnselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers. DOI ↗Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗
Další názvyspatial econometrics, spatial lag model, spatial error model, SAR / SEMconditional quantile regression, regression quantiles, Kantil Regresyon
Příbuzné55
ShrnutíSpatial regression is a family of regression models that build geographic neighbourhood relationships directly into the model, introduced by Luc Anselin in his 1988 treatment of spatial econometrics. It splits into a spatial lag model, where spatial dependence sits in the dependent variable, and a spatial error model, where the dependence sits in the error term.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.
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ScholarGatePorovnat metody: Spatial Regression · Quantile Regression. Získáno 2026-06-15 z https://scholargate.app/cs/compare