IDEAS home Printed from https://ideas.repec.org/a/mtn/ancoec/99030413.html
   My bibliography  Save this article

Efficient estimators of population variance with regression-type and ratio-type predictor-inputs

Author

Listed:
  • Mool Chandra Agrawal
  • Dulal Chandra Roy

Abstract

No abstract is available for this item.

Suggested Citation

  • Mool Chandra Agrawal & Dulal Chandra Roy, 1999. "Efficient estimators of population variance with regression-type and ratio-type predictor-inputs," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3-4), pages 169-178.
    • Handle: RePEc:mtn:ancoec:99030413
    as

    Download full text from publisher

    File URL: https://www.dss.uniroma1.it/RePec/mtn/articoli/1999-LVII-3_4-13.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. S. Srivastava, 1983. "Predictive estimation of finite population mean using product estimator," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 30(1), pages 93-99, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Khare Brij Behari & Ashutosh & Rai Piyush Kant, 2021. "A comparative study of a class of direct estimators for domain mean with a direct ratio estimator for domain mean using auxiliary character," Statistics in Transition New Series, Polish Statistical Association, vol. 22(2), pages 189-200, 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:mtn:ancoec:99030413. 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.

    If CitEc recognized a bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Marco Alfo' (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.