Improved Exponential Type Estimators of the Mean of a Sensitive Variable in the Presence of Nonsensitive Auxiliary Information

DOI10.1080/03610918.2014.941487zbMath1348.62025OpenAlexW4231079380MaRDI QIDQ2828713

Javid Shabbir, Sat Gupta, Rita Sousa, Pedro Corte Real

Publication date: 26 October 2016

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

Full work available at URL: https://doi.org/10.1080/03610918.2014.941487

zbMATH Keywords

biasauxiliary variablemean square error (MSE)exponential estimatorrandomized response technique (RRT)

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (7)

Double-sampling regression-cum-exponential estimator of the mean of a sensitive variable ⋮ Efficient class of estimators for the estimation of the mean of a sensitive variable using multi-auxiliary variables ⋮ The joint influence of estimation of sensitive variable under measurement error and non-response using ORRT models ⋮ Use of scrambled response for estimating mean of the sensitivity variable ⋮ Model selection in randomized response techniques for binary responses ⋮ An efficient scrambled estimator of population mean of quantitative sensitive variable using general linear transformation of non-sensitive auxiliary variable ⋮ Additive ratio type exponential estimator of finite population mean of sensitive variable using non-sensitive auxiliary information based on optional randomized response model

Cites Work

• Ratio estimation of the mean of a sensitive variable in the presence of auxiliary information
• Ratio estimators in simple random sampling
• Estimation of the Mean of a Sensitive Variable in the Presence of Auxiliary Information
• On Improvement in Variance Estimation Using Auxiliary Information
• Unnamed Item

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