IDEAS home Printed from https://ideas.repec.org/a/spr/stpapr/v54y2013i3p605-617.html
   My bibliography  Save this article

Testing base load with non-sample prior information on process load

Author

Listed:
  • Shahjahan Khan
  • Budi Pratikno

Abstract

Inference about population parameters could be improved using non- sample prior information (NSPI) from reliable sources along with the available data. This paper studies the problem of testing the intercept parameter of a simple regression model when NSPI is available on the value of the slope. The information on the slope may have the three different scenarios: (i) unknown (unspecified), (ii) known (certain or specified), and (iii) uncertain if the suspected value is unsure, for which we define the unrestricted test (UT), restricted test (RT) and pre-test test (PTT) for the intercept parameter. The test statistics, their sampling distributions, and power functions are derived. Comparison of the power functions and size of the tests are used to search and recommend a best test. The study reveals that the PTT has a reasonable dominance over the UT and RT both in terms of achieving highest power and lowest size. Copyright Springer-Verlag 2013

Suggested Citation

  • Shahjahan Khan & Budi Pratikno, 2013. "Testing base load with non-sample prior information on process load," Statistical Papers, Springer, vol. 54(3), pages 605-617, August.
    • Handle: RePEc:spr:stpapr:v:54:y:2013:i:3:p:605-617
    DOI: 10.1007/s00362-012-0451-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00362-012-0451-4
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s00362-012-0451-4?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Shahjahan Khan & A. Saleh, 2001. "On the comparison of the pre-test and shrinkage estimators for the univariate normal mean," Statistical Papers, Springer, vol. 42(4), pages 451-473, 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. Shahjahan Khan & Zahirul Hoque & A. Saleh, 2005. "Estimation of the intercept parameter for linear regression model with uncertain non-sample prior information," Statistical Papers, Springer, vol. 46(3), pages 379-395, July.

    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:spr:stpapr:v:54:y:2013:i:3:p:605-617. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.