2005
DOI: 10.1016/j.jspi.2004.04.010
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A mixed bivariate distribution with exponential and geometric marginals

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Cited by 28 publications
(42 citation statements)
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“…Our next results, which an extension of the symmetric case establish by Inusah and Kozubowski (2006), shows that this is indeed the case, and the variables X i are DL distributed themselves. This shows that skew DL distributions are geometric infinitely divisible, which is in contrast with the geometric distribution itself (see, e.g., Kozubowski and Panorska, 2005). …”
Section: Stability With Respect To Geometric Summationmentioning
confidence: 99%
“…Our next results, which an extension of the symmetric case establish by Inusah and Kozubowski (2006), shows that this is indeed the case, and the variables X i are DL distributed themselves. This shows that skew DL distributions are geometric infinitely divisible, which is in contrast with the geometric distribution itself (see, e.g., Kozubowski and Panorska, 2005). …”
Section: Stability With Respect To Geometric Summationmentioning
confidence: 99%
“…Por otra parte, es conocido que en muchos conjuntos de datos en los problemas que nos ocupan se presenta una varianza más grande que la media (fenómeno conocido como sobredispersión) y por esta razón se han considerado diferentes distribuciones alternativas para la variable aleatoria K ; en especial, las distribuciones mixturas de la Poisson, ver entre otros Grandell (1997) of the crm is to consider that the primary distribution, i.e., the K distribution, is the Poisson distribution, and the secondary one, the claim severity, is the Exponential distribution. Kozubowski and Panoska (2005) presented a set of interesting results for the sum of random variables with an Exponential distribution and a random number of summands. In addition, a comprehensive collection of approximate forms for the compound mixed Poisson distribution is to be found in Nadarajah and Kotz (2006a;2006b).…”
Section: The Aggregate Loss Modelunclassified
“…A set of interesting results on the sum of random variables with an exponential distribution and a random number of summands is presented in Kozubowski and Panoska (2005). Furthermore, a comprehensive collection of approximate forms for the compound * Corresponding author.…”
Section: Introductionmentioning
confidence: 99%