Assessing the Efficiencies of Calibration Ratio Estimators for Estimating Mean Weight of Babies in the Presence of Gestational Age Under Stratified Random Sampling

Abstract

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), Umuahia, Abia State Nigeria, under stratified random sampling. Data were collected on  maternal age, height, weight, and baby-related variables such as weight, gestational age and height. The maternal body mass index  (BMI) was utilized as the stratification variable. The aim is to improve the accuracy of estimating mean weight of babies by incorporating  gestational age as an auxiliary variable. An empirical study was carried out through population data sets obtained as to ascertain the  efficiency and performance of various calibration ratio estimators considered in the study, and the results revealed that the estimator of  Audu et al. (2020) outperformed the other estimators, and has proven to be consistent in all cases of sample size selection and the tuning  parameter.