On the Lavrentieff phenomenon for some classes of Dirichlet minimum points.
De Arcangelis, Riccardo, Trombetti, Cristina (2000)
Journal of Convex Analysis
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De Arcangelis, Riccardo, Trombetti, Cristina (2000)
Journal of Convex Analysis
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Mikhajlov, G.A., Medvedev, I.N. (2004)
Sibirskij Matematicheskij Zhurnal
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Romanov, A. S. (2003)
Sibirskij Matematicheskij Zhurnal
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Nakhi, Y. Ben, Kalla, S.L. (2004)
Fractional Calculus and Applied Analysis
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The aim of this paper is to establish some mixture distributions that arise in stochastic processes. Some basic functions associated with the probability mass function of the mixture distributions, such as k-th moments, characteristic function and factorial moments are computed. Further we obtain a three-term recurrence relation for each established mixture distribution.
Jiří Čížek, Jiří Jelínek (1996)
Commentationes Mathematicae Universitatis Carolinae
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The well-known general Tauberian theorem of N. Wiener is formulated and proved for distributions in the place of functions and its Ganelius' formulation is corrected. Some changes of assumptions of this theorem are discussed, too.
Spiliopoulos, Konstantinos (2009)
Electronic Journal of Probability [electronic only]
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Fuchs, Martin, Seregin, Gregory (2000)
Journal of Convex Analysis
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B. Stanković (2004)
Bulletin, Classe des Sciences Mathématiques et Naturelles, Sciences mathématiques
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Bolesław Kopociński (1999)
Applicationes Mathematicae
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We define a multivariate negative binomial distribution (MVNB) as a bivariate Poisson distribution function mixed with a multivariate exponential (MVE) distribution. We focus on the class of MVNB distributions generated by Marshall-Olkin MVE distributions. For simplicity of notation we analyze in detail the class of bivariate (BVNB) distributions. In applications the standard data from [2] and [7] and data concerning parasites of birds from [4] are used.