IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/23243.html
   My bibliography  Save this paper

Adjustment of the Auxiliary Variable(s) for Estimation of a Finite Population Mean

Author

Listed:
  • Ayesha, Nazuk
  • Sadia, Nadir
  • Javid, Shabbir

Abstract

In this paper we have worked to weight and transform various estimators by Prasad (1986) and Lui (1991). We have introduced some ratio and ratio type estimators under weighting, transformation and model based approach, environment. We have introduced estimators efficient than estimators proposed by Chakrabarty (1979), Singh and Singh (1997), Singh (2002) and Singh et al. (2006).

Suggested Citation

  • Ayesha, Nazuk & Sadia, Nadir & Javid, Shabbir, 2010. "Adjustment of the Auxiliary Variable(s) for Estimation of a Finite Population Mean," MPRA Paper 23243, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:23243
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/23243/1/MPRA_paper_23243.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Saari,Donald G., 2001. "Decisions and Elections," Cambridge Books, Cambridge University Press, number 9780521004046, March.
    2. Thomas Colignatus, 2005. ""Approval Voting" lacks a sound moral base for the individual voter's choice of approval versus non-approval, especially when the Status Quo is neglected," General Economics and Teaching 0503014, EconWPA.
    3. Saari,Donald G., 2001. "Decisions and Elections," Cambridge Books, Cambridge University Press, number 9780521808163, March.
    4. Thomas Cool, 2002. "Without time, no morality," General Economics and Teaching 0202003, EconWPA, revised 17 Feb 2002.
    5. Colignatus, Thomas, 2010. "Single vote multiple seats elections. Didactics of district versus proportional representation, using the examples of the United Kingdom and The Netherlands," MPRA Paper 22671, University Library of Munich, Germany, revised 06 Jul 2007.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    model based approach; percent relative efficiency; product estimator; ratio estimator; regression estimator; simple mean unit estimator;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:23243. 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: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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 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.

    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.