IDEAS home Printed from https://ideas.repec.org/a/vrs/stintr/v21y2020i1p37-54n3.html
   My bibliography  Save this article

Horvitz-Thompson estimator based on theauxiliary variable

Author

Listed:
  • Al-Jararha J.

    (Department of Statistics, Yarmouk University, Irbid, Jordan .)

  • Sulaiman Mazen

    (Department of Statistics, Yarmouk University, Irbid, Jordan .)

Abstract

In this paper, the Horvitz and Thompson (1952) estimator will be modified; so that, the modified estimators will use the availability of the auxiliary variable. Furthermore, the modified estimators are extended to be used in stratified sampling designs. Empirical studies are given for comparison purposes.

Suggested Citation

  • Al-Jararha J. & Sulaiman Mazen, 2020. "Horvitz-Thompson estimator based on theauxiliary variable," Statistics in Transition New Series, Polish Statistical Association, vol. 21(1), pages 37-54, March.
  • Handle: RePEc:vrs:stintr:v:21:y:2020:i:1:p:37-54:n:3
    DOI: 10.21307/stattrans-2020-003
    as

    Download full text from publisher

    File URL: https://doi.org/10.21307/stattrans-2020-003
    Download Restriction: no

    File URL: https://libkey.io/10.21307/stattrans-2020-003?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. Stearns, Matthew & Singh, Sarjinder, 2008. "On the estimation of the general parameter," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4253-4271, May.
    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. Ohyama, Tetsuji, 2013. "Prior value incorporated calibration estimator in stratified random sampling," Statistics & Probability Letters, Elsevier, vol. 83(1), pages 46-51.
    2. Sarjinder Singh, 2012. "On the calibration of design weights using a displacement function," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 75(1), pages 85-107, January.
    3. J. Al-Jararha & Mazen Sulaiman, 2020. "Horvitz-Thompson estimator based on the auxiliary variable," Statistics in Transition New Series, Polish Statistical Association, vol. 21(1), pages 37-53, March.
    4. Martínez, S. & Rueda, M. & Arcos, A. & Martínez, H. & Sánchez-Borrego, I., 2011. "Post-stratified calibration method for estimating quantiles," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 838-851, January.

    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:21:y:2020:i:1:p:37-54:n:3. 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.