IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v47y2018i14p3508-3522.html
   My bibliography  Save this article

Analyzing continuous randomized response data with an indifference-zone selection procedure

Author

Listed:
  • Alaa Elkadry
  • Gary C. McDonald

Abstract

A review of the randomized response model introduced by Warner (1965) is given, then a randomized response model applicable to continuous data that considers a mixture of two normal distributions is considered. The target here is not to estimate any parameter, but rather to select the population with the best parameter value. This article provides a study on how to choose the best population between k distinct populations using an indifference-zone procedure. Also, this article includes tables for the required sample size needed in order to have a probability of correct selection higher than some specified value in the preference zone for the randomized response model considered.

Suggested Citation

  • Alaa Elkadry & Gary C. McDonald, 2018. "Analyzing continuous randomized response data with an indifference-zone selection procedure," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 47(14), pages 3508-3522, July.
    • Handle: RePEc:taf:lstaxx:v:47:y:2018:i:14:p:3508-3522
    DOI: 10.1080/03610926.2017.1359298
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2017.1359298
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03610926.2017.1359298?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.

    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:47:y:2018:i:14:p:3508-3522. 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.