IDEAS home Printed from https://ideas.repec.org/a/spr/testjl/v9y2000i1p191-208.html
   My bibliography  Save this article

Bayesian reference prior analysis for polynomial calibration models

Author

Listed:
  • Daniel Eno
  • Keying Ye

Abstract

No abstract is available for this item.

Suggested Citation

  • Daniel Eno & Keying Ye, 2000. "Bayesian reference prior analysis for polynomial calibration models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 9(1), pages 191-208, June.
    • Handle: RePEc:spr:testjl:v:9:y:2000:i:1:p:191-208
    DOI: 10.1007/BF02595858
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02595858
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/BF02595858?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. M. Ghosh & B. Carlin & M. Srivastava, 1995. "Probability matching priors for linear calibration," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 4(2), pages 333-357, December.
    2. Kubokawa, T. & Robert, C. P., 1994. "New Perspectives on Linear Calibration," Journal of Multivariate Analysis, Elsevier, vol. 51(1), pages 178-200, October.
    3. Anne Philippe & Christian Robert, 1998. "A note on the confidence properties of reference priors for the calibration model," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 7(1), pages 147-160, June.
    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. Yin, Ming, 2000. "Noninformative Priors for Multivariate Linear Calibration," Journal of Multivariate Analysis, Elsevier, vol. 73(2), pages 221-240, May.
    2. Liao, Jason J. Z., 2002. "An insight into linear calibration: univariate case," Statistics & Probability Letters, Elsevier, vol. 56(3), pages 271-281, February.
    3. Brunero Liseo, 2003. "Bayesian and conditional frequentist analyses of the Fieller’s problem. A critical review," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1), pages 133-150.
    4. Grazian, Clara & Robert, Christian P., 2018. "Jeffreys priors for mixture estimation: Properties and alternatives," Computational Statistics & Data Analysis, Elsevier, vol. 121(C), pages 149-163.
    5. Vilca-Labra, F. & Arellano-Valle, R. B. & Bolfarine, H., 1998. "Elliptical Functional Models," Journal of Multivariate Analysis, Elsevier, vol. 65(1), pages 36-57, April.
    6. Dal Ho Kim & Woo Dong Lee & Sang Gil Kang & Yongku Kim, 2019. "Objective Bayesian tests for Fieller–Creasy problem," Computational Statistics, Springer, vol. 34(3), pages 1159-1182, September.

    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:testjl:v:9:y:2000:i:1:p:191-208. 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.