IDEAS home Printed from https://ideas.repec.org/a/csb/stintr/v13y2012i1p21-36.html
   My bibliography  Save this article

Estimation of population mean using two auxiliary sources in sample surveys

Author

Listed:
  • Sharad Pathak
  • Diwakar Shukla
  • Narendra Singh Thakur

Abstract

This paper proposes families for estimation of population mean of the main variable under study using the information on two different auxiliary variables under simple random sampling without replacement (SRSWOR) scheme. Three different classes of estimators are constructed, examined with a complete study with other existing estimators. The expression for bias and mean squared error of the proposed families are obtained up to first order of approximation. Usual ratio estimator, product estimator, dual to ratio estimator, ratio-cum-product type estimator and many more estimators are identified as particular members of the suggested family. Expressions of optimization are derived and theoretical results are supported by numerical examples.

Suggested Citation

  • Sharad Pathak & Diwakar Shukla & Narendra Singh Thakur, 2012. "Estimation of population mean using two auxiliary sources in sample surveys," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 13(1), pages 21-36, March.
  • Handle: RePEc:csb:stintr:v:13:y:2012:i:1:p:21-36
    as

    Download full text from publisher

    File URL: http://index.stat.gov.pl/repec/files/csb/stintr/csb_stintr_v13_2012_i1_n3.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Diwakar Shukla, 2002. "F-T estimator under two-phase sampling," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1-2), pages 97-106.
    2. 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)

    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. Giancarlo Diana & Pier Francesco Perri, 2007. "Estimation of finite population mean using multi-auxiliary information," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1), pages 99-112.
    2. Muhammad Riaz & Ronald Does, 2009. "A process variability control chart," Computational Statistics, Springer, vol. 24(2), pages 345-368, May.
    3. Thakur Narendra Singh & Shukla Diwakar, 2022. "Missing data estimation based on the chaining technique in survey sampling," Statistics in Transition New Series, Polish Statistical Association, vol. 23(4), pages 91-111, December.
    4. 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.

    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:csb:stintr:v:13:y:2012:i:1:p:21-36. 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: Beata Witek (email available below). General contact details of provider: https://edirc.repec.org/data/gusgvpl.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.