IDEAS home Printed from https://ideas.repec.org/h/ito/pchaps/244901.html
   My bibliography  Save this book chapter

Estimation of Means of Two Quantitative Sensitive Variables Using Randomized Response Technique

In: Computational Statistics and Applications

Author

Listed:
  • Amod Kumar

Abstract

I propose an improved randomized response model for the simultaneous estimation of population means of two quantitative sensitive variables by using blank card option that make use of one scramble response and another fake response. The properties of the proposed estimator have been analysed. To judge the performance of the proposed model, I have considered a real data set and it is to be pointed out that the proposed model is more efficient in terms of relative efficiencies and privacy protection of respondents as well. Suitable recommendations have been made to the survey practitioners.

Suggested Citation

  • Amod Kumar, 2022. "Estimation of Means of Two Quantitative Sensitive Variables Using Randomized Response Technique," Chapters, in: Ricardo Lopez-Ruiz (ed.), Computational Statistics and Applications, IntechOpen.
  • Handle: RePEc:ito:pchaps:244901
    DOI: 10.5772/intechopen.101269
    as

    Download full text from publisher

    File URL: https://www.intechopen.com/chapters/80027
    Download Restriction: no

    File URL: https://libkey.io/10.5772/intechopen.101269?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
    ---><---

    More about this item

    Keywords

    randomized response technique; two quantitative sensitive variables; estimation of two means; blank card; privacy protection;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General

    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:ito:pchaps:244901. 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: Slobodan Momcilovic (email available below). General contact details of provider: http://www.intechopen.com .

    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.