IDEAS home Printed from https://ideas.repec.org/a/vrs/stintr/v19y2018i1p159-166n4.html
   My bibliography  Save this article

Product Exponential Method Of Imputation In Sample Surveys

Author

Listed:
  • Prasad Shakti

    (Department of Basic & Applied Science National Institute of Technology, Arunachal Pradesh, Yupia, Papum pare, - 791112, India)

Abstract

In this paper, a product exponential method of imputation has been suggested and their corresponding resultant point estimator has been proposed for estimating the population mean in sample surveys. The expression of bias and the mean square error of the suggested estimator has also been derived, up to the first order of large sample approximations. Compared with the mean imputation method, Singh and Deo (Statistical Papers (2003)) and Adapted estimator (Bahl and Tuteja (1991)), the simulation studies show that the suggested estimator is the most efficient estimator.

Suggested Citation

  • Prasad Shakti, 2018. "Product Exponential Method Of Imputation In Sample Surveys," Statistics in Transition New Series, Polish Statistical Association, vol. 19(1), pages 159-166, March.
  • Handle: RePEc:vrs:stintr:v:19:y:2018:i:1:p:159-166:n:4
    DOI: 10.21307/stattrans-2018-010
    as

    Download full text from publisher

    File URL: https://doi.org/10.21307/stattrans-2018-010
    Download Restriction: no

    File URL: https://libkey.io/10.21307/stattrans-2018-010?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. Sarjinder Singh & Balbinder Deo, 2003. "Imputation by power transformation," Statistical Papers, Springer, vol. 44(4), pages 555-579, October.
    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. Shakti Prasad, 2018. "Product Exponential Method Of Imputation In Sample Surveys," Statistics in Transition New Series, Polish Statistical Association, vol. 19(1), pages 159-166, March.
    2. Shashi Bhushan & Abhay Pratap Pandey, 2021. "Optimal imputation of the missing data using multi auxiliary information," Computational Statistics, Springer, vol. 36(1), pages 449-477, 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:vrs:stintr:v:19:y:2018:i:1:p:159-166:n:4. 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.