Using the exponential function of scrambling variable in quantitative randomized response models

DOI10.1002/mma.9295OpenAlexW4366775264MaRDI QIDQ6185413

Muhammad Azeem

Publication date: 8 January 2024

Published in: Mathematical Methods in the Applied Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/mma.9295

zbMATH Keywords

exponential functionefficiencyrandomized responseprivacy protectionsensitive surveysscrambling variable

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Cites Work

• A class of estimators for quantitative sensitive data
• A binary unrelated-question RRT model accounting for untruthful responding
• A unified measure of respondent privacy and model efficiency in quantitative RRT models
• Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
• Mean estimation in the simultaneous presence of measurement errors and non-response using optional RRT models under stratified sampling
• Estimation of mean of a sensitive variable using efficient exponential-type estimators in stratified sampling
• An Efficiency and Protection Degree-Based Comparison Among the Quantitative Randomized Response Strategies
• An innovative optimal randomized response model using correlated scrambling variables
• The joint influence of estimation of sensitive variable under measurement error and non-response using ORRT models
• Mean estimation of sensitive variables under measurement errors using optional RRT models
• An improved randomized response model: estimation of mean
• An innovative improvement in Warner's randomized response device for evasive answer bias
• Estimation of sensitivity level of personal interview survey questions

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