In this paper, a new improved calibration estimator for estimating the population mean in the
stratified random sampling using standard deviation of the auxiliary variable is proposed. A …

This comprehensive review delves into the landscape of estimators used in stratified
sampling and post-stratification to estimate crucial population parameters, such as mean …

In the survey sampling, when the study and auxiliary variables are tolerably correlated, the
ranks of an auxiliary variable also relate mutually with the study variable and thus by using …

In this paper, two modified, design-based calibration ratio-type estimators are presented.
The suggested estimators were developed under stratified random sampling using …

In this paper, we proposed new conventional unbiased and calibration estimators for
estimating finite population variance for a Mail Survey Design characterized by the presence …

This study presents a green synthesis approach for silicon oxide nanoparticles (SiONPs)
using plantain peels, highlighting their structural and surface properties, potential …

This study compares the performance of various calibration ratio estimators in estimating the
mean weight of newborn babies at the maternity ward of Federal Medical Centre (FMC) …

Calibration estimation is a method of adjusting the original design weights in survey
sampling to improve estimates. It uses calibrated weights that are determined to minimize a …

In this paper, a new improved calibration estimator for the population mean in a stratified
sampling was proposed using two auxiliary variables. A simulation study was carried out to …

Calibration estimation is a method that utilizes auxiliary information to improve estimate of
population parameters and it has received so much attention in literature since the work of …