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.

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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
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article

An Enhanced Exponential Dual to Ratio-cum-Product Type Estimator of Population mean under Stratified Random Sampling

Subhash Kumar Yadav, Richa Sharma, Surendra Kumar, Lakhan Singh
International Journal of Agricultural and Statistical Sciences
Survey Sampling and Estimation Techniques
article

An Enhanced Exponential Dual to Ratio-cum-Product Type Estimator of Population mean under Stratified Random Sampling

Subhash Kumar Yadav, Richa Sharma, Surendra Kumar, Lakhan Singh
article en

Abstract

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.

International Journal of Agricultural and Statistical SciencesVol. 20(02)
Openalex Percentile: Top 77%
Survey Sampling and Estimation Techniques
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