A Generalized Class of Ratio Type Exponential Estimators of Population Mean Under Linear Transformation of Auxiliary Variable

DOI10.1080/03610918.2012.736579zbMath1333.62042OpenAlexW2120555977MaRDI QIDQ5418887

Parmdeep Kaur, Lovleen Kumar Grover

Publication date: 30 May 2014

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

Full work available at URL: https://doi.org/10.1080/03610918.2012.736579

zbMATH Keywords

biasmean square errorauxiliary variablecoefficient of variationstudy variablecoefficient of skewnesscoefficient of correlationcoefficient of kurtosisratio type exponential estimator

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (10)

An alternative perspective on estimators ⋮ A EWMA control chart based on an auxiliary variable and repetitive sampling for monitoring process location ⋮ A new class of ratio-type estimators for improving mean estimation of nonsensitive and sensitive variables by using supplementary information ⋮ Unnamed Item ⋮ Comparative study of different imputation methods ⋮ On estimation of distribution function using dual auxiliary information under nonresponse using simple random sampling ⋮ An efficient scrambled estimator of population mean of quantitative sensitive variable using general linear transformation of non-sensitive auxiliary variable ⋮ A control chart using an auxiliary variable and repetitive sampling for monitoring process mean ⋮ A new estimator of finite population mean based on the dual use of the auxiliary information ⋮ A new family of estimators for population mean with dual use of the auxiliary information

Cites Work

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• Improvement in estimating the population mean in simple random sampling
• Ratio estimators in simple random sampling
• On Estimating Finite Population Mean in Simple and Stratified Random Sampling
• On certail methods of improving ration and regression estimators
• A Class of Estimators of the Population Mean Using MultiAuxiliary Information
• Ratio and Product Type Exponential Estimators
• On improvement in estimating the population mean in simple random sampling
• Efficient Utilization of Auxiliary Information at Estimation Stage

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