An improved exponential estimator of finite population mean in simple random sampling using an auxiliary attribute

DOI10.1016/J.AMC.2011.08.035zbMath1466.62242OpenAlexW2050410771MaRDI QIDQ426304

Parmdeep Kaur, Lovleen Kumar Grover

Publication date: 11 June 2012

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2011.08.035

zbMATH Keywords

biasmean square errorsimple random samplingauxiliary attributepoint bi-serial correlationstudy variablepercent relative efficiency

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (10)

An alternative perspective on estimators ⋮ An efficient exponential estimator of the mean under stratified random sampling ⋮ A predictive estimator of finite population proportion despite missing data ⋮ An improved estimator of finite population mean when using two auxiliary attributes ⋮ Estimation of ratio of two means using regression-cum-exponential estimators in the presence of non-response ⋮ Estimation of population mean using information on two auxiliary attributes ⋮ Unnamed Item ⋮ Efficient estimator of a finite population mean using two auxiliary variables and numerical application in agricultural, biomedical, and power engineering ⋮ A family of efficient estimators of the finite population mean in simple random sampling ⋮ A new family of estimators for population mean with dual use of the auxiliary information

Cites Work

• Improvement in estimating the population mean in simple random sampling using information on auxiliary attribute
• On certail methods of improving ration and regression estimators
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