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A randomized response procedure for multiple-sensitive questions

Author

Listed:
  • Lucio Barabesi

    ()

  • Sara Franceschi
  • Marzia Marcheselli

Abstract

No abstract is available for this item.

Suggested Citation

  • Lucio Barabesi & Sara Franceschi & Marzia Marcheselli, 2012. "A randomized response procedure for multiple-sensitive questions," Statistical Papers, Springer, vol. 53(3), pages 703-718, August.
  • Handle: RePEc:spr:stpapr:v:53:y:2012:i:3:p:703-718
    DOI: 10.1007/s00362-011-0374-5
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    File URL: http://hdl.handle.net/10.1007/s00362-011-0374-5
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    References listed on IDEAS

    as
    1. Lucio Barabesi & Marzia Marcheselli, 2010. "Bayesian estimation of proportion and sensitivity level in randomized response procedures," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 72(1), pages 75-88, July.
    2. Christopher R. Gjestvang & Sarjinder Singh, 2006. "A new randomized response model," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 68(3), pages 523-530.
    3. Kuo-Chung Huang, 2006. "Estimation of sensitive data from a dichotomous population," Statistical Papers, Springer, vol. 47(1), pages 149-156, January.
    4. Mandel, Micha & Betensky, Rebecca A., 2008. "Simultaneous confidence intervals based on the percentile bootstrap approach," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 2158-2165, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Lucio Barabesi & Giancarlo Diana & Pier Perri, 2015. "Gini index estimation in randomized response surveys," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 99(1), pages 45-62, January.
    2. Heiko Groenitz, 2015. "Using prior information in privacy-protecting survey designs for categorical sensitive variables," Statistical Papers, Springer, vol. 56(1), pages 167-189, February.
    3. Mausumi Bose, 2015. "Respondent privacy and estimation efficiency in randomized response surveys for discrete-valued sensitive variables," Statistical Papers, Springer, vol. 56(4), pages 1055-1069, November.

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