IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v48y2019i6p1449-1469.html
   My bibliography  Save this article

Calibrated estimators in two-stage sampling

Author

Listed:
  • Veronica I. Salinas
  • Stephen A. Sedory
  • Sarjinder Singh

Abstract

We consider the problem of the estimation of the population mean of a study variable by assuming that the population means of an auxiliary variable are known at both stages of sample selection. The design weights at the first and second stages of sample selection are calibrated by optimizing the chi-squared type distance between the design weights and the new weights at both the first and second stages of sample selection. The regression type estimator in two-stage sampling is shown to be a special case. An application of the proposed estimators using a real data set is discussed.

Suggested Citation

  • Veronica I. Salinas & Stephen A. Sedory & Sarjinder Singh, 2019. "Calibrated estimators in two-stage sampling," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 48(6), pages 1449-1469, March.
    • Handle: RePEc:taf:lstaxx:v:48:y:2019:i:6:p:1449-1469
    DOI: 10.1080/03610926.2018.1433850
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2018.1433850
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03610926.2018.1433850?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. Ahmed Audu & Rajesh Singh & Supriya Khare, 2021. "Developing calibration estimators for population mean using robust measures of dispersion under stratified random sampling," Statistics in Transition New Series, Polish Statistical Association, vol. 22(2), pages 125-142, June.

    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:6:p:1449-1469. 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.