Improved calibration estimation of population mean in stratified sampling using two auxiliary variables
Improved calibration estimation of population mean in stratified sampling using two auxiliary variables
Author(s): Abimibola V. Oladugba, Oluwagbenga T. BabatundeSubject(s): Economy
Published by: Główny Urząd Statystyczny
Keywords: calibration; estimator; stratified sampling; auxiliary variables; mean square error; bias; percentage relative efficiency;
Summary/Abstract: 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 evaluate the performance and efficiency of the proposed estimator with respect to three estimators considered in the literature for estimating the population mean in a stratified sampling using two auxiliary variables. The results showed that the new estimator proved to be more efficient than the three existing estimators considered.
Journal: Statistics in Transition. New Series
- Issue Year: 25/2024
- Issue No: 1
- Page Range: 77-91
- Page Count: 14
- Language: English
