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New discrete Appell and Humbert distributions with relevance to bivariate accident data

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  • Kemp, Adrienne W.

Abstract

The paper categorizes discrete multivariate distributions into classes according to the forms of their probability generating functions, putting especial emphasis on those with pgf’s involving Lauricella functions. The LPSDs are Lauricella power series distributions where the arguments of the function are proportional to the generating variables. Lauricella factorial moment distributions, LFMDs, have arguments of the form λi(si−1), where si is a generating variable. New LFMDs are created; the differences between these and Xekalaki’s generalized Waring distribution are clarified using bivariate accident models.

Suggested Citation

  • Kemp, Adrienne W., 2013. "New discrete Appell and Humbert distributions with relevance to bivariate accident data," Journal of Multivariate Analysis, Elsevier, vol. 113(C), pages 2-6.
  • Handle: RePEc:eee:jmvana:v:113:y:2013:i:c:p:2-6
    DOI: 10.1016/j.jmva.2011.08.011
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    References listed on IDEAS

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    1. C. Satheesh Kumar, 2008. "A unified approach to bivariate discrete distributions," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 67(1), pages 113-123, January.
    2. Panaretos, John & Xekalaki, Evdokia, 1986. "The stuttering generalized waring distribution," Statistics & Probability Letters, Elsevier, vol. 4(6), pages 313-318, October.
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    Cited by:

    1. Debasis Kundu, 2020. "On a General Class of Discrete Bivariate Distributions," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 82(2), pages 270-304, November.

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