A new randomized response device for sensitive characteristics: an application of the negative hypergeometric distribution

DOI10.1007/s40300-013-0002-3zbMath1302.62023OpenAlexW2038003669MaRDI QIDQ478364

Stephen A. Sedory, Sarjinder Singh

Publication date: 3 December 2014

Published in: Metron (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40300-013-0002-3

zbMATH Keywords

relative efficiencyestimation of proportionnegative hypergeometic distributionsensitive variables

Mathematics Subject Classification ID

Point estimation (62F10) Exact distribution theory in statistics (62E15) Sampling theory, sample surveys (62D05)

Related Items (10)

Further improvements on unrelated characteristic models in randomized response techniques ⋮ 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 estimation of a sensitive attribute by using negative binomial and negative hypergeometric distribution as randomization devices ⋮ A stratified randomized response model for sensitive characteristics using the negative hypergeometric distribution ⋮ An extension of Franklin's randomized response technique for multi-proportions ⋮ An improved negative binomial approximation with high accuracy to the negative hypergeometric probability for order-preserving encryption ⋮ On Using Negative Binomial Distribution as a Randomization Device in Sensitive Surveys ⋮ Unnamed Item

Cites Work

• Unnamed Item
• Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
• Asking sensitive questions indirectly
• Simulated Minimum Sample Size Requirements in Various Randomized Response Models

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