IDEAS home Printed from https://ideas.repec.org/a/vrs/jsesro/v9y2020i2p1-12n1.html
   My bibliography  Save this article

Generalized Classes of Estimators for Population Mean, Ratio and Product Using Rank of Auxiliary Character Under Double Sampling the Non-Respondents

Author

Listed:
  • Sinha Raghaw Raman

    (Department of Mathematics, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar-144011, India)

Abstract

In the present study, generalized classes of estimators for estimating population mean, ratio and product of two population means using rank of auxiliary character in presence of non-response are proposed. The bias and mean square error of proposed classes of estimators are obtained and their performances examined. Specific conditions under which the members of proposed classes of estimators attain minimum mean square error are obtained. Comparative study of the proposed classes of estimators with the relevant estimators is carried out. An empirical study is given to justify the efficiency of the proposed classes of estimators.

Suggested Citation

  • Sinha Raghaw Raman, 2020. "Generalized Classes of Estimators for Population Mean, Ratio and Product Using Rank of Auxiliary Character Under Double Sampling the Non-Respondents," Journal of Social and Economic Statistics, Sciendo, vol. 9(2), pages 1-12, December.
    • Handle: RePEc:vrs:jsesro:v:9:y:2020:i:2:p:1-12:n:1
    DOI: 10.2478/jses-2020-0009
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/jses-2020-0009
    Download Restriction: no
    File URL: https://libkey.io/10.2478/jses-2020-0009?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
    ---><---

    References listed on IDEAS

    as
    1. Mazhar Yaqub & Javid Shabbir & Sat Narian Gupta, 2017. "Estimation of population mean based on dual use of auxiliary information in non response," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(24), pages 12130-12151, December.
    2. Housila Singh & Sunil Kumar, 2010. "Estimation of population product in presence of non-response in successive sampling," Statistical Papers, Springer, vol. 51(4), pages 975-996, 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. G. N. Singh & M. Khetan & S. Maurya, 2016. "Some Effective Estimation Procedures Under Non-Response In Two-Phase Successive Sampling," Statistics in Transition New Series, Polish Statistical Association, vol. 17(2), pages 163-182, June.
    2. Vishwantra Sharma & Sunil Kumar, 2023. "Estimation of population ratio in cluster sampling over successive sampling in the presence of non-response," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1351-1368, April.
    3. Singh G. N. & Khetan M. & Maurya S., 2016. "Some Effective Estimation Procedures Under Non-Response in Two-Phase Successive Sampling," Statistics in Transition New Series, Statistics Poland, vol. 17(2), pages 163-182, June.
    4. Mukti Khetan & G. N. Singh & S. Maurya, 2016. "Some Effective Estimation Procedures Under Non-Response In Two-Phase Successive Sampling," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 17(2), pages 163-182, June.

    More about this item

    Keywords

    Estimators; Bias; Mean square error; Simple random sampling;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

    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:vrs:jsesro:v:9:y:2020:i:2:p:1-12:n:1. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.