A study on the chain ratio-ratio-type exponential estimator for finite population variance

DOI10.1080/03610926.2017.1321124zbMath1387.62015OpenAlexW2607948808MaRDI QIDQ4634830

Anita Yadav, Surya Kant Pal, Housila Prasad Singh

Publication date: 11 April 2018

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2017.1321124

zbMATH Keywords

mean squared errorefficiencyauxiliary variablefinite population variancestudy variable

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (5)

An efficient new approach for estimating the general parameter using auxiliary variable in sample surveys ⋮ In-type estimators for the population variance in stratified random sampling ⋮ Rescaled bootstrap confidence intervals for the population variance in the presence of outliers or spikes in the distribution of a variable of interest ⋮ Improved estimators of population variance using robust measures in case of missing data ⋮ A new efficient class of estimators of finite population mean in simple random sampling

Cites Work

• Ratio estimators for the population variance in simple and stratified random sampling
• Ratio and Product Type Exponential Estimators
• Variance Estimation Using Auxiliary Information
• The Utilization of a Known Coefficient of Variation in the Estimation Procedure
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