On Using Negative Binomial Distribution as a Randomization Device in Sensitive Surveys

DOI10.1080/03610918.2014.948193zbMath1348.62027OpenAlexW2071790587MaRDI QIDQ2828771

Zawar Hussain, Javid Shabbir, Manzoor Khan, Bander M. Al-Zahrani

Publication date: 26 October 2016

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2014.948193

zbMATH Keywords

negative binomial distributionsensitive attributesrandomized response modelsestimation of proportion

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (7)

Combining answers to direct and indirect questions: An implementation of Kuk’s randomized response model ⋮ Improved strategy to collect sensitive data by using geometric distribution as a randomization device ⋮ Improved strategy to collect sensitive data by using negative binomial and negative hypergeometric distribution as randomization devices ⋮ A stratified randomized response model for sensitive characteristics using non identical trials ⋮ Randomized response trial using negative binomial distribution ⋮ An application of negative binomial distribution of order k in sensitive surveys ⋮ Masking data: a solution to social desirability bias in paired comparison experiments

Cites Work

• A new randomized response device for sensitive characteristics: an application of the negative hypergeometric distribution
• A generalized randomized response technique
• A note on the comparison of some randomized response procedures
• Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
• An alternative randomized response procedure
• A New Randomized Response Model
• Asking sensitive questions indirectly
• Improved Bar-Lev, Bobovitch, and Boukai Randomized Response Models
• Geometric distribution as a randomization device: implemented to the Kuk's model
• Estimation of proportion and sensitivity of a qualitative character

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