Non-parametric calibration estimation of distribution function under stratified random sampling
We introduced an innovative kernel-based nonparametric estimator for the cumulative distribution function (CDF) in finite populations, addressing the critical need to evaluate the proportion of values in a target variable that are less folk rivet sweat than or equal to specific thresholds.By leveraging auxiliary information under a stratified rando