IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v49y2020i14p3329-3351.html
   My bibliography  Save this article

Some imputation methods to compensate with non-response for estimation of population mean in two-occasion successive sampling

Author

Listed:
  • Garib Nath Singh
  • Mohd Khalid

Abstract

Non-response is an unavoidable phenomenon in almost all sample survey, and if it is not dealt carefully at the very starting of the analysis, results may lead to significant biases in the survey estimates. Keeping these facts in mind and inspired by the work of Singh (2009), this article suggests some alternative efficient methods to deal with the missing data problems at the beginning of the analysis and proposes estimation procedures of the current population mean in two-occasion successive sampling. The properties of the resultant estimation procedures have been examined and supplemented with empirical studies. Results have been critically analyzed, and recommendations are made to the survey practitioners.

Suggested Citation

  • Garib Nath Singh & Mohd Khalid, 2020. "Some imputation methods to compensate with non-response for estimation of population mean in two-occasion successive sampling," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 49(14), pages 3329-3351, July.
  • Handle: RePEc:taf:lstaxx:v:49:y:2020:i:14:p:3329-3351
    DOI: 10.1080/03610926.2019.1586945
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2019.1586945
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03610926.2019.1586945?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:49:y:2020:i:14:p:3329-3351. 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.