IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v77y2007i10p942-951.html
   My bibliography  Save this article

The uniqueness of extremum estimation

Author

Listed:
  • Krätschmer, Volker

Abstract

Let W denote a family of probability distributions with parameter space [Gamma], and WG be a subfamily of W depending on a mapping G:[Theta]-->[Gamma]. Extremum estimations of the parameter vector [theta][set membership, variant][Theta] are considered. Some sufficient conditions are presented to ensure the uniqueness with probability one. As important applications, the maximum likelihood estimation in curved exponential families and nonlinear regression models with independent disturbances as well as the maximum likelihood estimation of the location and scale parameters of Gumbel distributions are treated.

Suggested Citation

  • Krätschmer, Volker, 2007. "The uniqueness of extremum estimation," Statistics & Probability Letters, Elsevier, vol. 77(10), pages 942-951, June.
    • Handle: RePEc:eee:stapro:v:77:y:2007:i:10:p:942-951
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-7152(07)00025-9
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

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

    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:eee:stapro:v:77:y:2007:i:10:p:942-951. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description .

    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.