IDEAS home Printed from https://ideas.repec.org/a/spr/aistmt/v57y2005i4p687-701.html
   My bibliography  Save this article

Derivation of mixture distributions and weighted likelihood function as minimizers of KL-divergence subject to constraints

Author

Listed:
  • Xiaogang Wang
  • James Zidek

Abstract

No abstract is available for this item.

Suggested Citation

  • Xiaogang Wang & James Zidek, 2005. "Derivation of mixture distributions and weighted likelihood function as minimizers of KL-divergence subject to constraints," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 57(4), pages 687-701, December.
    • Handle: RePEc:spr:aistmt:v:57:y:2005:i:4:p:687-701
    DOI: 10.1007/BF02915433
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02915433
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/BF02915433?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. Jian-Jian Ren, 2001. "Weighted Empirical Likelihood Ratio Confidence Intervals for the Mean with Censored Data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 53(3), pages 498-516, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. K. Dedecius & V. Sečkárová, 2013. "Centralized Bayesian reliability modelling with sensor networks," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 19(5), pages 471-482.
    2. David R. Bickel, 2013. "Minimax-Optimal Strength of Statistical Evidence for a Composite Alternative Hypothesis," International Statistical Review, International Statistical Institute, vol. 81(2), pages 188-206, August.

    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. Jian-Jian Ren & Yuyin Shi, 2024. "Empirical likelihood MLE for joint modeling right censored survival data with longitudinal covariates," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 76(4), pages 617-648, August.
    2. Jian-Jian Ren & Yiming Lyu, 2024. "Weighted Empirical Likelihood for Accelerated Life Model with Various Types of Censored Data," Stats, MDPI, vol. 7(3), pages 1-11, September.
    3. Jiang, Shan & Tu, Dongsheng, 2012. "Inference on the probability P(T1," Computational Statistics & Data Analysis, Elsevier, vol. 56(5), pages 1069-1078.

    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:aistmt:v:57:y:2005:i:4:p:687-701. 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.