(This abstract was borrowed from another version of this item.)"> (This abstract was borrowed from another version of this item.)">
[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/eee/insuma/v9y1990i4p257-272.html
   My bibliography  Save this article

Applications of the GB2 family of distributions in modeling insurance loss processes

Author

Listed:
  • Cummins, J. David
  • Dionne, Georges
  • McDonald, James B.
  • Pritchett, B. Michael
Abstract
Ce Texte Suggere L'utilisation de la Famille des Distributions de Probabilites a Quatre Parametres, la Beta Generalisee du Deuxieme Type (Gb2) Pour Analyser les Pertes D'assurance. la Gb2 a Comme Cas Particulier les Distributions Log-Normale, Gamma et Weibull. Elle Comprend Egalement Comme Cas Particuliers la Burr et la Gamma Generalisee et Elle Est Tres Appropriee Pour Ameliorer L'estimation des Distributions Ayant des Queues Tres Epaisses. la Plupart des Membres de la Famille de Distribution Proposee Peuvent Etre Obtenus Par des Combinaisons de Distributions Bien Connues. les Resultats Demontrent Que des Faibles Differences Dans la Modelisation des Queues Peuvent Generer des Grandes Differences Dans le Calcul des Primes de Reassurance et Dans les Quantiles des Distributions des Pertes Assurees Totales.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Cummins, J. David & Dionne, Georges & McDonald, James B. & Pritchett, B. Michael, 1990. "Applications of the GB2 family of distributions in modeling insurance loss processes," Insurance: Mathematics and Economics, Elsevier, vol. 9(4), pages 257-272, December.
    • Handle: RePEc:eee:insuma:v:9:y:1990:i:4:p:257-272
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0167-6687(90)90003-V
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

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

    Other versions of this item:

    More about this item

    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:eee:insuma:v:9:y:1990:i:4:p:257-272. 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/locate/inca/505554 .

    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.