M. Irfan

Robust quantile regression for improved population mean estimation under simple random sampling

Robust mean estimation via auxiliary-informed quantile regression: A modern statistical framework

To handle outliers in data, researchers increasingly use robust regression techniques since traditional methods like ordinary least squares are sensitive to outliers/extreme values. Quantile regression is being widely applied in survey  sampling to obtain more reliable and efficient estimates. This study proposes a nov...