An Enhanced Exponential Dual to Ratio-cum-Product Type Estimator of Population mean under Stratified Random Sampling
This article investigates an exponential estimator in dual form for the population mean in stratified random sampling using two auxiliary variates that are modified from the ratio-cum-product type estimators. The formulae for bias and mean squared error (MSE) have been determined for the suggested stratified random sample estimator. Additionally, in a stratified sample scheme, the propounded estimator has been practically and conceptually compared to current ones. It is proven that the improved estimator that has been presented is more effective than all other competing population mean estimators. . KEYWORDS :Ratio-cum-Product estimator, Stratified sample scheme, Population mean, Mean squared error, Bias.
Authors
- Subhash Kumar Yadav (ORCID: https://orcid.org/0000-0002-7181-8075)
- Richa Sharma (ORCID: https://orcid.org/0000-0001-9747-0700)
- Surendra Kumar (ORCID: https://orcid.org/0000-0001-6802-5894)
- Lakhan Singh
Publication Details
- Journal
- International Journal of Agricultural and Statistical Sciences
- Published
- 2024-12-01
- DOI
- https://doi.org/10.59467/ijass.2024.20.575
- Primary Topic
- Survey Sampling and Estimation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00