A combined Monte Carlo and quasi-Monte Carlo method with applications to option pricing.
Roşca, Natalia C. (2009)
Acta Universitatis Apulensis. Mathematics - Informatics
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Roşca, Natalia C. (2009)
Acta Universitatis Apulensis. Mathematics - Informatics
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Roşca, Alin V. (2007)
Acta Universitatis Apulensis. Mathematics - Informatics
Similarity:
Roşca, Alin V. (2008)
Acta Universitatis Apulensis. Mathematics - Informatics
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Gnewuch, Michael, Roşca, Alin V. (2009)
Acta Universitatis Apulensis. Mathematics - Informatics
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Ahsanullah, M. (2009)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
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Shola Adeyemi, Mathew Oladejo Ojo (2003)
Kragujevac Journal of Mathematics
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Gerhard Larcher (1991)
Acta Arithmetica
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Novikov, A., Frishling, V., Kordzakhia, N. (2003)
Georgian Mathematical Journal
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Shervashidze, T. (2003)
Georgian Mathematical Journal
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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.
Munteanu, Bogdan-Gheorghe (2006)
General Mathematics
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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.