IDEAS home Printed from https://ideas.repec.org/a/bot/rivsta/v73y2013i4p437-461.html
   My bibliography  Save this article

An improved estimation of parameters of Morgenstern type bivariate logistic distribution using ranked set sampling

Author

Listed:
  • Housila P. Singh

    (Vikram University, Ujjain - India)

  • Vishal Mehta

    (Vikram University, Ujjain - India)

Abstract

In this paper we have suggested some improved estimator of parameters of Morgenstern type bivariate logistic distribution (MTBLD) using ranked set sampling. We have shown the superiority of the proposed estimators over Chacko and Thomas (2009) estimators.

Suggested Citation

  • Housila P. Singh & Vishal Mehta, 2013. "An improved estimation of parameters of Morgenstern type bivariate logistic distribution using ranked set sampling," Statistica, Department of Statistics, University of Bologna, vol. 73(4), pages 437-461.
    • Handle: RePEc:bot:rivsta:v:73:y:2013:i:4:p:437-461
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Singh Housila P. & Mehta Vishal, 2017. "Improved Estimation of the Scale Parameter for Log-Logistic Distribution Using Balanced Ranked Set Sampling," Statistics in Transition New Series, Polish Statistical Association, vol. 18(1), pages 53-74, March.
    2. Housila P. Singh & Vishal Mehta, 2017. "Improved Estimation of the Scale Parameter for Log-Logistic Distribution Using Balanced Ranked Set Sampling," Statistics in Transition New Series, Polish Statistical Association, vol. 18(1), pages 53-74, March.

    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:bot:rivsta:v:73:y:2013:i:4:p:437-461. 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: Giovanna Galatà (email available below). General contact details of provider: https://edirc.repec.org/data/dsbolit.html .

    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.