IDEAS home Printed from https://ideas.repec.org/a/spr/stmapp/v20y2011i2p123-140.html
   My bibliography  Save this article

An improved class of estimators for the population mean

Author

Listed:
  • Giancarlo Diana

    ()

  • Marco Giordan

    ()

  • Pier Perri

    ()

Abstract

No abstract is available for this item.

Suggested Citation

  • Giancarlo Diana & Marco Giordan & Pier Perri, 2011. "An improved class of estimators for the population mean," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(2), pages 123-140, June.
  • Handle: RePEc:spr:stmapp:v:20:y:2011:i:2:p:123-140
    DOI: 10.1007/s10260-010-0156-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10260-010-0156-6
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. A. Sahai & S. Ray, 1980. "An efficient estimator using auxiliary information," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 27(1), pages 271-275, December.
    2. D. Adhvaryu & P. Gupta, 1983. "On some alternative sampling strategies using auxiliary information," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 30(1), pages 217-226, December.
    3. Nursel Koyuncu & Cem Kadilar, 2010. "On improvement in estimating population mean in stratified random sampling," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(6), pages 999-1013.
    4. Sat Gupta & Javid Shabbir, 2008. "On improvement in estimating the population mean in simple random sampling," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(5), pages 559-566.
    5. V. Naik & P. Gupta, 1991. "A general class of estimators for estimating population mean using auxiliary information," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 38(1), pages 11-17, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:exl:29stat:v:17:y:2016:i:4:p:605-630 is not listed on IDEAS
    2. Housila Singh & Ramkrishna Solanki, 2013. "A new procedure for variance estimation in simple random sampling using auxiliary information," Statistical Papers, Springer, vol. 54(2), pages 479-497, May.
    3. repec:spr:ijsaem:v:8:y:2017:i:2:d:10.1007_s13198-017-0609-5 is not listed on IDEAS

    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:spr:stmapp:v:20:y:2011:i:2:p:123-140. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: http://www.springer.com .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.