IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v46y2017i6p3070-3079.html
   My bibliography  Save this article

On the estimation of a sensitive quantitative mean using blank cards

Author

Listed:
  • Fatima Batool
  • Javid Shabbir
  • Zawar Hussain

Abstract

In this article, we introduce for the first time, the blank card methods for estimation of finite population mean of a sensitive variable. Two generic randomization devices are suggested, and for each device we identify the choices of special models. We introduce additive, multiplicative, and combination of both additive and multiplicative scrambling models that require use of a non sensitive variable. We derive the basic statistical properties of each model. It is interesting to note that various existing estimators can be viewed as the special cases of those presented here. The statistical efficiency of proposed techniques is compared with Greenberg et al. (1971) and modified Perri (2008) model. The proposed devices can easily be adjusted to achieve the required efficiency level by making suitable choices of different design parameters.

Suggested Citation

  • Fatima Batool & Javid Shabbir & Zawar Hussain, 2017. "On the estimation of a sensitive quantitative mean using blank cards," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(6), pages 3070-3079, March.
    • Handle: RePEc:taf:lstaxx:v:46:y:2017:i:6:p:3070-3079
    DOI: 10.1080/03610926.2015.1053944
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2015.1053944
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03610926.2015.1053944?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:46:y:2017:i:6:p:3070-3079. 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.