Linear programming methods for estimating quantile regression with the application
AL-Anbar University journal of Economic and Administration Sciences
2019, Volume 11, Issue 24, Pages 555-581
2019, Volume 11, Issue 24, Pages 555-581
Abstract
This paper deals with a quantile regression for estimating conditional quantiles, also it deals with two methods for detecting leverage and outlier observations. To determine the best algorithm for estimating the parameters of the quantile regression for the thalassemia data in Mosul city. Three algorithms compared for regression estimation, which are simplex algorithm, smoothing algorithm, and interior point algorithm. Markov chain marginal bootstrap used to compute the confidence intervals.
Keywords
Quantile regression, Smoothing algorithm, Simplex algorithm, Interior point algorithm, Markov chain marginal bootstrap, ThalassemiaMetrics