IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-1-4613-1885-9_5.html
   My bibliography  Save this book chapter

Information in Selection Models

In: Probability and Bayesian Statistics

Author

Listed:
  • M. J. Bayarri

    (Univ. de Valencia, Dep. Estadística e IO Fac. Matemáticas)

  • M. H. DeGroot

    (Carnegie-Mellon Univ., Dept. of Statistics)

Abstract

The experiment in which a selection sample is drawn from some distribution involving an unknown parameter θ is compared according to various criteria with the usual experiment in which an unrestricted random sample is drawn from that distribution. The Fisher information is studied for several of these experiments, and conditions under which the experiments are ordered with respect to the criterion of sufficiency or pairwise sufficiency are presented. Standard problems involving selection samples from the normal, binomial, and Poisson distributions are discussed in detail. Some results for general exponential families and for selection models involving bivariate observations are also considered.

Suggested Citation

  • M. J. Bayarri & M. H. DeGroot, 1987. "Information in Selection Models," Springer Books, in: R. Viertl (ed.), Probability and Bayesian Statistics, pages 39-51, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4613-1885-9_5
    DOI: 10.1007/978-1-4613-1885-9_5
    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:978-1-4613-1885-9_5. 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.