Estimation of mean of a sensitive variable using efficient exponential-type estimators in stratified sampling

DOI10.1080/00949655.2021.1940182OpenAlexW3176218172WikidataQ115551848 ScholiaQ115551848MaRDI QIDQ3390475

Iram Saleem, Aamir Sanaullah

Publication date: 24 March 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2021.1940182

zbMATH Keywords

mean square errorstratified random samplingabsolute relative biasscrambled responsesexponential-type estimator

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (5)

Efficient class of estimators for the estimation of the mean of a sensitive variable using multi-auxiliary variables ⋮ Using randomized response to estimate the population mean of a sensitive variable under the influence of measurement error ⋮ Generalized ratio-type and exponential ratio-type estimators for mean in presence of non-response using follow-up procedure based on three-phase and four-phase sampling ⋮ Generalized double sampling family of estimators for population mean of sensitive variable harnessing non-sensitive auxiliary variable and attribute ⋮ Using the exponential function of scrambling variable in quantitative randomized response models

Cites Work

• Ratio estimation of the mean of a sensitive variable in the presence of auxiliary information
• A class of estimators for quantitative sensitive data
• A note on randomized response models for quantitative data
• Ratio estimation of finite population mean using optional randomized response models
• A randomized response technique for quantitative data under unequal probability sampling
• Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
• A Comparison of Three Randomized Response Models for Quantitative Data
• Double-sampling regression-cum-exponential estimator of the mean of a sensitive variable
• Use of scrambled response for estimating mean of the sensitivity variable
• 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
• Using randomized response from a complex survey to estimate a sensitive proportion in a dichotomous finite population
• Estimation of sensitivity level of personal interview survey questions

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