IDEAS home Printed from https://ideas.repec.org/a/bla/stanee/v41y1987i1p27-44.html
   My bibliography  Save this article

Randomized Response Techniques: A Review

Author

Listed:
  • A. Chaudhuri
  • R. Mukherjee

Abstract

Randomized response techniques (RRT) are well–known as tools to procure trustworthy survey data on confidential issues. A review is attempted here of mostly published accounts on RRT covering qualitative and quantitative characters. Conflicting criteria of efficient estimation and protection of privacy are discussed. Infinite hypothetical and concrete finite population set–ups are treated separately.

Suggested Citation

  • A. Chaudhuri & R. Mukherjee, 1987. "Randomized Response Techniques: A Review," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 41(1), pages 27-44, March.
    • Handle: RePEc:bla:stanee:v:41:y:1987:i:1:p:27-44
    DOI: 10.1111/j.1467-9574.1987.tb01169.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1467-9574.1987.tb01169.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1467-9574.1987.tb01169.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Singh Housila P. & Gorey Swarangi M., 2017. "A Generalized Randomized Response Model," Statistics in Transition New Series, Polish Statistical Association, vol. 18(4), pages 669-686, December.
    2. Housila P. Singh & Tanveer A. Tarray, 2015. "An Efficient Alternative Mixed Randomized Response Procedure," Sociological Methods & Research, , vol. 44(4), pages 706-722, November.
    3. Dihidar Kajal & Bhattacharya Manjima, 2017. "Estimating Sensitive Population Proportion Using a Combination of Binomial and Hypergeometric Randomized Responses by Direct and Inverse Mechanism," Statistics in Transition New Series, Polish Statistical Association, vol. 18(2), pages 193-210, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:stanee:v:41:y:1987:i:1:p:27-44. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0039-0402 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.