Efficient class of estimators for the estimation of the mean of a sensitive variable using multi-auxiliary variables

DOI10.1080/00949655.2022.2053124OpenAlexW4223914004MaRDI QIDQ5040511

Javid Shabbir, Husna Sadaf, Riffat Jabeen, Aamir Sanullah, Iram Saleem

Publication date: 17 October 2022

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

Full work available at URL: https://doi.org/10.1080/00949655.2022.2053124

zbMATH Keywords

ratio estimatorregression estimatorsensitive variableexponential ratio estimatorscrambled randomized response model

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Ratio estimation of the mean of a sensitive variable in the presence of auxiliary information
• 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
• Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
• Estimation of mean of a sensitive variable using efficient exponential-type estimators in stratified sampling
• Multi-choice stratified randomized response model with two-stage classification
• An Efficiency and Protection Degree-Based Comparison Among the Quantitative Randomized Response Strategies
• A Comparison of Three Randomized Response Models for Quantitative Data
• Randomized response model to alter the nuisance effect of non-response due to stigmatized issues in survey sampling
• Double-sampling regression-cum-exponential estimator of the mean of a sensitive variable
• An innovative optimal randomized response model using correlated scrambling variables
• Use of scrambled response for estimating mean of the sensitivity variable
• 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
• 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

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