Link Function for Quantile Estimation in Regression Settings

This paper studies the quantile estimation by using link function under a broad family of asymmetric densities known as generalized quantile-based family. We proposed and in regression settings. The estimator’s asymptotic properties estimators are also discussed here. To demonstrate methods for estimating function, an actual data application including proportion daily SARS-Cov-2 infected persons tested COVID-19 infection meteorological factors such temperature humidity is included. discovered that amount people significantly influenced humidity.