A new class of ratio-type estimators for improving mean estimation of nonsensitive and sensitive variables by using supplementary information
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Publication:5087530
DOI10.1080/03610918.2018.1458133OpenAlexW2800687464WikidataQ129844600 ScholiaQ129844600MaRDI QIDQ5087530
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Publication date: 1 July 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2018.1458133
auxiliary variableindirect questioningsensitive researchscrambled response modelsratio-type exponential estimators
Related Items (10)
Variance estimation based on L-moments and auxiliary information ⋮ Novel log type class of estimators under ranked set sampling ⋮ An exponential family of median based estimators for mean estimation with simple random sampling scheme ⋮ Robust-regression-type estimators for improving mean estimation of sensitive variables by using auxiliary information ⋮ Comparative study of different imputation methods ⋮ An efficient Hartley-Ross type estimators of nonsensitive and sensitive variables using robust regression methods in sample surveys ⋮ Some efficient classes of estimators under stratified sampling ⋮ Generalized robust-regression-type estimators under different ranked set sampling ⋮ Additive ratio type exponential estimator of finite population mean of sensitive variable using non-sensitive auxiliary information based on optional randomized response model ⋮ Imputation based mean estimators in case of missing data utilizing robust regression and variance–covariance matrices
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