A class of hybrid type estimators for variance of a finite population in simple random sampling

DOI10.1080/03610918.2020.1776873OpenAlexW3039860160MaRDI QIDQ5042154

Iqra Niaz, Aamir Sanaullah, Iqra Ehsan, Javid Shabbir

Publication date: 18 October 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2020.1776873

zbMATH Keywords

efficiencybiasauxiliary variablemean square error (MSE)

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Improved family of estimators of population coefficient of variation under simple random sampling

Cites Work

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• Improved family of estimators of population variance in simple random sampling
• Ratio estimators for the population variance in simple and stratified random sampling
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• Variance Estimation Using Auxiliary Information
• A New Difference-Cum-Exponential Type Estimator of Finite Population Mean in Simple Random Sampling
• Generalized Exponential Type Estimator for Population Variance in Survey Sampling
• A Note on Generalized Exponential Type Estimator for Population Variance in Survey Sampling
• An Improved Class of Estimators for Finite Population Variance
• On Improvement in Variance Estimation Using Auxiliary Information

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