A Generalized Family of Ratio-Product Exponential Type Estimators Using Power Transformation
DOI:
https://doi.org/10.57233/ijsgs.v9i3.534Keywords:
Parameter, Ratio, Exponential, Estimator, VariableAbstract
In this research study, a new population mean estimator for two auxiliary variables in stratified random sampling, based on power transformation and exponential techniques, was proposed, following the approach developed by Tailor et al. in 2015. We derived the bias and mean square error (MSE) of this proposed estimator up to the second order of approximation. The conditions in which this newly proposed estimator outperforms the existing ones were obtained. Empirical findings from the study confirm the superior efficiency of the proposed estimator compared to the existing ones.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Author(s)

This work is licensed under a Creative Commons Attribution 4.0 International License.








