IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v51y2022i21p7305-7321.html
   My bibliography  Save this article

Further improvements on unrelated characteristic models in randomized response techniques

Author

Listed:
  • Purnima Shaw
  • Arijit Chaudhuri

Abstract

Unrelated characteristics model (URL) is a type of randomized response technique (RRT) used to estimate finite population proportion of individuals bearing such a sensitive characteristic whose complement is also sensitive in nature. Chaudhuri and Shaw revised this device to allow inverse Bernoullian trials in generating randomized responses (RR) and found the superiority of this device in comparison to the original one. Motivated by Singh and Sedory’s negative Hypergeometric trials in generating RR, this paper attempts to use the direct and inverse Hypergeometric trials’ approach to improve Chaudhuri and Shaw’s revised URL device. The “protection of privacy measures” of these two new devices are also derived. Numerical calculations based on a simulated population illustrate the performance of the proposed devices.

Suggested Citation

  • Purnima Shaw & Arijit Chaudhuri, 2022. "Further improvements on unrelated characteristic models in randomized response techniques," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 51(21), pages 7305-7321, November.
  • Handle: RePEc:taf:lstaxx:v:51:y:2022:i:21:p:7305-7321
    DOI: 10.1080/03610926.2021.1872638
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2021.1872638
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03610926.2021.1872638?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Truong-Nhat Le & Shen-Ming Lee & Phuoc-Loc Tran & Chin-Shang Li, 2023. "Randomized Response Techniques: A Systematic Review from the Pioneering Work of Warner (1965) to the Present," Mathematics, MDPI, vol. 11(7), pages 1-26, April.

    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:taf:lstaxx:v:51:y:2022:i:21:p:7305-7321. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/lsta .

    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.