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Estimation for sensitive characteristics using optional randomized response technique

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  • Kuo-Chung Huang

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  • Kuo-Chung Huang, 2008. "Estimation for sensitive characteristics using optional randomized response technique," Quality & Quantity: International Journal of Methodology, Springer, vol. 42(5), pages 679-686, October.
    • Handle: RePEc:spr:qualqt:v:42:y:2008:i:5:p:679-686
    DOI: 10.1007/s11135-007-9082-6
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    References listed on IDEAS

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    1. Kuo-Chung Huang & Chun-Hsiung Lan & Mei-Pei Kuo, 2005. "Detecting Untruthful Answering in Randomized Response Sampling," Quality & Quantity: International Journal of Methodology, Springer, vol. 39(5), pages 659-669, October.
    2. Jong-Min Kim & M. E. Elam, 2005. "A two-stage stratified Warner’s randomized response model using optimal allocation," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 61(1), pages 1-7, February.
    3. Horng-Jinh Chang & Chih-Li Wang & Kuo-Chung Huang, 2004. "Using Randomized Response to Estimate the Proportion and Truthful Reporting Probability in a Dichotomous Finite Population," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(5), pages 565-573.
    4. Kuo‐Chung Huang, 2004. "A survey technique for estimating the proportion and sensitivity in a dichotomous finite population," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 58(1), pages 75-82, February.
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    Cited by:

    1. Horng-Jinh Chang & Mei-Pei Kuo, 2012. "Estimation of population proportion in randomized response sampling using weighted confidence interval construction," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 75(5), pages 655-672, July.
    2. Pal Sanghamitra & Chaudhuri Arijit & Patra Dipika, 2020. "How privacy may be protected in optional randomized response surveys," Statistics in Transition New Series, Polish Statistical Association, vol. 21(2), pages 61-87, June.
    3. María del Mar Rueda & Beatriz Cobo & Antonio Arcos, 2021. "Regression Models in Complex Survey Sampling for Sensitive Quantitative Variables," Mathematics, MDPI, vol. 9(6), pages 1-13, March.
    4. Antonio Arcos & María del Rueda & Sarjinder Singh, 2015. "A generalized approach to randomised response for quantitative variables," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 1239-1256, May.
    5. Sanghamitra Pal & Arijit Chaudhuri & Dipika Patra, 2020. "How privacy may be protected in optional randomized response surveys," Statistics in Transition New Series, Polish Statistical Association, vol. 21(2), pages 61-87, June.
    6. Pablo O. Juárez-Moreno & Agustín Santiago-Moreno & José M. Sautto-Vallejo & Carlos N. Bouza-Herrera, 2023. "Scrambling Reports: New Estimators for Estimating the Population Mean of Sensitive Variables," Mathematics, MDPI, vol. 11(11), pages 1-11, June.

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