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Construction of bivariate distributions by a generalised trivariate reduction technique

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  • Lai, C. D.

Abstract

A method of constructing bivariate distributions is given. The method utilises a generalised trivariate reduction technique which has proven (in its original form) very useful in many applications. A special case, a bivariate Poisson mixture distribution, is studied in detail.

Suggested Citation

  • Lai, C. D., 1995. "Construction of bivariate distributions by a generalised trivariate reduction technique," Statistics & Probability Letters, Elsevier, vol. 25(3), pages 265-270, November.
    • Handle: RePEc:eee:stapro:v:25:y:1995:i:3:p:265-270
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    Cited by:

    1. Mauro Laudicella & Paolo Li Donni, 2022. "The dynamic interdependence in the demand of primary and emergency secondary care: A hidden Markov approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 521-536, April.
    2. Vera Hofer & Johannes Leitner, 2012. "A bivariate Sarmanov regression model for count data with generalised Poisson marginals," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(12), pages 2599-2617, August.

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