IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-1-4615-5309-0_6.html

Best Linear Unbiased Prediction

In: Handbook of Tables for Order Statistics from Lognormal Distributions with Applications

Author

Listed:
  • N. Balakrishnan

    (McMaster University, Department of Mathematics and Statistics)

  • William W. S. Chen

    (Internal Revenue Service)

Abstract

Prediction problems arise naturally in life-testing experiments. For example, let us consider the life-test experiment described in Example 3 of Chapter 5. In this case, twenty three ball bearings were placed on a life-test and the data on the number of million revolutions before failure of each of these ball bearings were observed. The experiment itself was terminated as soon as the twentieth ball bearing failed with three ball bearings still surviving at the time of termination of the experiment. It is, therefore, natural for the experimenter to be interested in predicting the number of million revolutions before failure for the remaining three surviving bearings. In particular, the experimenter may be interested in predicting the very next failure or the very last failure.

Suggested Citation

  • N. Balakrishnan & William W. S. Chen, 1999. "Best Linear Unbiased Prediction," Springer Books, in: Handbook of Tables for Order Statistics from Lognormal Distributions with Applications, chapter 6, pages 31-38, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4615-5309-0_6
    DOI: 10.1007/978-1-4615-5309-0_6
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:spr:sprchp:978-1-4615-5309-0_6. 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.

    We have no bibliographic 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.

    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.