Estimation Precision in a Quantile Regression Model
Dr. Yew Meng Koh
Quantile regression provides a method for estimating quantiles of a distribution while incorporating covariate information. If distributional assumptions are placed on the distribution of the response variable, an asymptotic variance estimate for the estimators can be obtained. This is done for a variety of distributions and comparisons are made to equivalent simple linear regression models.
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