An effective and economic estimation of population mean in stratified random sampling using a linear cost function.

ABSTRACT: Improvement in the estimation of population mean has been an area of interest in sampling theory. So many estimators have been suggested for elevated estimation of the population mean in stratified random sampling, but there is still a gap for more closely estimating the population mean. In this paper, the authors propose a ratio-product-cum-exponential-cum-logarithmic type estimator for the enhanced estimation of population mean by implying one auxiliary variable in stratified random sampling using conventional ratio, exponential ratio, and logarithmic ratio type estimators. The suggested estimator is a generalization of ratio, exponential ratio, and logarithmic ratio type estimators, and therefore these are special cases of the proposed estimator. The proposed estimator's bias and MSE ar

SUBMITTER: Zaagan AA 

PROVIDER: S-EPMC11141353 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature