IDEAS home Printed from https://ideas.repec.org/a/sae/somere/v45y2016i1p158-174.html
   My bibliography  Save this article

The Improved Estimation of Ratio of Two Population Proportions

Author

Listed:
  • Ramkrishna S. Solanki
  • Housila P. Singh

Abstract

In this article, first we obtained the correct mean square error expression of Gupta and Shabbir’s linear weighted estimator of the ratio of two population proportions. Later we suggested the general class of ratio estimators of two population proportions. The usual ratio estimator, Wynn-type estimator, Singh, Singh, and Kaur difference-type estimator, and Gupta and Shabbir estimator have been found to be members of the suggested class.

Suggested Citation

  • Ramkrishna S. Solanki & Housila P. Singh, 2016. "The Improved Estimation of Ratio of Two Population Proportions," Sociological Methods & Research, , vol. 45(1), pages 158-174, February.
    • Handle: RePEc:sae:somere:v:45:y:2016:i:1:p:158-174
    DOI: 10.1177/0049124114560029
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0049124114560029
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0049124114560029?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
    ---><---

    Citations

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


    Cited by:

    1. 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:sae:somere:v:45:y:2016:i:1:p:158-174. 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: SAGE Publications (email available below). General contact details of provider: .

    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.