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On two extensions of the canonical Feller–Spitzer distribution

Author

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  • Vladimir Vladimirovich Vinogradov

    (Ohio University)

  • Richard Bruce Paris

    (Abertay University)

Abstract

We introduce two extensions of the canonical Feller–Spitzer distribution from the class of Bessel densities, which comprise two distinct stochastically decreasing one-parameter families of positive absolutely continuous infinitely divisible distributions with monotone densities, whose upper tails exhibit a power decay. The densities of the members of the first class are expressed in terms of the modified Bessel function of the first kind, whereas the members of the second class have the densities of their Lévy measure given by virtue of the same function. The Laplace transforms for both these families possess closed–form representations in terms of specific hypergeometric functions. We obtain the explicit expressions by virtue of the particular parameter value for the moments of the distributions considered and establish the monotonicity of the mean, variance, skewness and excess kurtosis within the families. We derive numerous properties of members of these classes by employing both new and previously known properties of the special functions involved and determine the variance function for the natural exponential family generated by a member of the second class.

Suggested Citation

  • Vladimir Vladimirovich Vinogradov & Richard Bruce Paris, 2021. "On two extensions of the canonical Feller–Spitzer distribution," Journal of Statistical Distributions and Applications, Springer, vol. 8(1), pages 1-25, December.
  • Handle: RePEc:spr:jstada:v:8:y:2021:i:1:d:10.1186_s40488-021-00113-4
    DOI: 10.1186/s40488-021-00113-4
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    References listed on IDEAS

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    1. Sokbae Lee & Oliver Linton & Yoon-Jae Whang, 2009. "Testing for Stochastic Monotonicity," Econometrica, Econometric Society, vol. 77(2), pages 585-602, March.
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    Cited by:

    1. Letac, Gérard, 2022. "Duality for real and multivariate exponential families," Journal of Multivariate Analysis, Elsevier, vol. 188(C).

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