IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v48y2019i23p5777-5795.html
   My bibliography  Save this article

Improved strategy to collect sensitive data by using geometric distribution as a randomization device

Author

Listed:
  • Niharika Yennum
  • Stephen A. Sedory
  • Sarjinder Singh

Abstract

In this article, we improvise Singh and Grewal (2013) and Hussain et al. (2016) techniques by introducing a new two-stage randomization response process. Using the proposed new technique, we achieve better efficiency and increasing protection of privacy of respondents than the Kuk (1990), Singh and Grewal (2013) and Hussain et al. (2016) models. The relative efficiency and protection of the respondents of the proposed two-stage randomization device have been investigated through simulation study, and the situations are reported where the proposed estimator performs better than its competitors. The SAS code used to investigate the performance of the proposed strategy are also provided.

Suggested Citation

  • Niharika Yennum & Stephen A. Sedory & Sarjinder Singh, 2019. "Improved strategy to collect sensitive data by using geometric distribution as a randomization device," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 48(23), pages 5777-5795, December.
    • Handle: RePEc:taf:lstaxx:v:48:y:2019:i:23:p:5777-5795
    DOI: 10.1080/03610926.2018.1522346
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2018.1522346
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03610926.2018.1522346?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. Gi-Sung Lee & Ki-Hak Hong & Chang-Kyoon Son, 2019. "An Estimation of Sensitive Attribute Applying Geometric Distribution under Probability Proportional to Size Sampling," Mathematics, MDPI, vol. 7(11), pages 1-16, November.

    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:48:y:2019:i:23:p:5777-5795. 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.