Admissible and optimal sampling strategy for estimating finite population mean in randomized response surveys with multiple responses

DOI10.1080/03610926.2014.957859zbMath1351.62031OpenAlexW2482233937MaRDI QIDQ2832620

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Publication date: 11 November 2016

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2014.957859

zbMATH Keywords

optimal strategyrandomized responseadmissibilitymultiple responsescomplete classpopulation meanlinear unbiased strategypopulation proportionsuper-population model

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Admissibility in statistical decision theory (62C15)

Cites Work

• Estimating sensitive proportions by Warner's randomized response technique using multiple randomized responses from distinct persons sampled
• Estimation of a sensitive proportion by Warner's randomized response data through inverse sampling
• Choice of an optimum sampling strategy. I
• Randomized response surveys of finite populations: A unified approach with quantitative data
• Estimation of finite population mean in randomized response surveys
• Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
• Optimum Sampling Strategies for Randomized Response Trials
• On Use of Distinct Respondents in Randomized Response Surveys
• A New Model for Randomized Response
• Admissibility and Bayes Estimation in Sampling Finite Populations. I

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