Use of scrambled response for estimating mean of the sensitivity variable

DOI10.1080/03610926.2019.1576898OpenAlexW2914192450MaRDI QIDQ5077208

Aamir Sanaullah, Javid Shabbir, Iram Saleem

Publication date: 18 May 2022

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

Full work available at URL: https://doi.org/10.1080/03610926.2019.1576898

zbMATH Keywords

mean square errorscrambled responsessensitive study variableexponential-type estimator

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Statistics (62-XX)

Related Items (4)

Efficient class of estimators for the estimation of the mean of a sensitive variable using multi-auxiliary variables ⋮ Mean estimation with generalized scrambling using two-phase sampling ⋮ Generalized double sampling family of estimators for population mean of sensitive variable harnessing non-sensitive auxiliary variable and attribute ⋮ Estimation of mean of a sensitive variable using efficient exponential-type estimators in stratified sampling

Cites Work

• Ratio estimation of the mean of a sensitive variable in the presence of auxiliary information
• Mean and sensitivity estimation in optional randomized response models
• Ratio estimation of finite population mean using optional randomized response models
• A randomized response technique for quantitative data under unequal probability sampling
• Improved Exponential Type Estimators of the Mean of a Sensitive Variable in the Presence of Nonsensitive Auxiliary Information
• Estimation of the Mean of a Sensitive Variable in the Presence of Auxiliary Information
• A family of efficient estimators of the finite population mean in simple random sampling
• A New Difference-Cum-Exponential Type Estimator of Finite Population Mean in Simple Random Sampling
• New scrambled response models for estimating the mean of a sensitive quantitative character
• A regression estimator for finite population mean of a sensitive variable using an optional randomized response model
• Exponential-Type Estimators of the Mean of a Sensitive Variable in the Presence of Nonsensitive Auxiliary Information
• Estimation of sensitivity level of personal interview survey questions

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