Knowledge and Data Management White Papers

An Introduction to Quantile Regression and the QUANTREG Procedure

Overview Ordinary least-squares regression models the relationship between one or more covariates X and the conditional mean of a response variable Y given X = x. In contrast, quantile regression models the relationship between X and the conditional quantiles of Y given X = x, so it is especially useful in applications where extremes are important, such as environmental studies where upper quantiles of pollution levels are critical from a public health perspective. This paper describes the new QUANTREG procedure in SAS 9.1, which computes estimates and related quantities for quantile regression by solving a modification of the least-squares criterion.

Further White Paper Details
PublisherSAS Institute File FormatPDF
Date PublishedMarch 2005
FormatWhite Papers   
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