IDEAS home Printed from https://ideas.repec.org/h/wsi/wschap/9789812772992_0010.html
   My bibliography  Save this book chapter

Classes Of Bivariate Distributions With Normal And Lognormal Conditionals: A Brief Revision

In: Distribution Models Theory

Author

Listed:
  • J. M. SARABIA

    (Department of Economics, University of Cantabria, Avda. de los Castros s/n., Santander, 39005, Spain)

  • E. CASTILLO

    (Dept. of Applied Mathematics and Computational Sciences, University of Cantabria, Avda. de los Castros s/n., Santander, 39005, Spain)

  • M. PASCUAL

    (Department of Economics, University of Cantabria, Avda. de los Castros s/n., Santander, 39005, Spain)

  • M. SARABIA

    (Department of Business Administration, University of Cantabria, Avda. de los Castros s/n., Santander, 39005, Spain)

Abstract

The present paper is a brief survey of the classes of bivariate distributions with normal and lognormal conditionals. Basic properties including conditional moments, marginal distributions, characterizations, parameterizations, dependence and modality are revised. Estimation and applications of these models are studied. Finally, some extensions of the bivariate conditional normal model are reviewed.

Suggested Citation

  • J. M. Sarabia & E. Castillo & M. Pascual & M. Sarabia, 2006. "Classes Of Bivariate Distributions With Normal And Lognormal Conditionals: A Brief Revision," World Scientific Book Chapters, in: Rafael Herrerías Pleguezuelo & José Callejón Céspedes & José Manuel Herrerías Velasco (ed.), Distribution Models Theory, chapter 10, pages 173-187, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9789812772992_0010
    as

    Download full text from publisher

    File URL: https://www.worldscientific.com/doi/pdf/10.1142/9789812772992_0010
    Download Restriction: Ebook Access is available upon purchase.

    File URL: https://www.worldscientific.com/doi/abs/10.1142/9789812772992_0010
    Download Restriction: Ebook Access is available upon purchase.
    ---><---

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

    More about this item

    Keywords

    Inference; Uncertainty; Copulas; Stochastic Dominance; Bayesian Techniques; Hierarchical Bayesian Model; Poisson-Gamma-Gamma Model; Experience Rating; Specific Fecundity Rates; Fecundity Curves; Topp and Leone Distributions; Waring Distribution; Factorial; Cluster; Discrimination Analyses; Survival Functions;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory

    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:wsi:wschap:9789812772992_0010. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscientific.com/page/worldscibooks .

    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.