A stratified randomized response model for sensitive characteristics using the negative hypergeometric distribution
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Publication:2979017
DOI10.1080/03610926.2015.1010007zbMath1364.62026OpenAlexW2324444323MaRDI QIDQ2979017
Tanveer A. Tarray, Housila Prasad Singh
Publication date: 2 May 2017
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2015.1010007
randomized response samplingestimation of proportionnegative hypergeometric distributionrespondents protection
Point estimation (62F10) Exact distribution theory in statistics (62E15) Sampling theory, sample surveys (62D05)
Related Items (5)
Combining answers to direct and indirect questions: An implementation of Kuk’s randomized response model ⋮ Estimation of population proportion of a qualitative character using randomized response technique in stratified random sampling ⋮ 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 ⋮ A randomization tool for obtaining efficient estimators through focus group discussion in sensitive surveys
Cites Work
- A new randomized response device for sensitive characteristics: an application of the negative hypergeometric distribution
- A mixed randomized response model
- A stratified Warner's randomized response model.
- A two-stage stratified Warner's randomized response model using optimal allocation
- Estimation of population mean when coefficient of variation is known using scrambled response technique
- Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
- An alternative randomized response procedure
- Asking sensitive questions indirectly
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