Records and concomitants.
Ahsanullah, M. (2009)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
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Ahsanullah, M. (2009)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
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Shervashidze, T. (2003)
Georgian Mathematical Journal
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Tang, Qihe (2006)
Electronic Journal of Probability [electronic only]
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Shola Adeyemi (2004)
Kragujevac Journal of Mathematics
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Jadwiga Dudkiewicz (1998)
Applicationes Mathematicae
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We present conditions sufficient for the weak convergence to a compound Poisson distribution of the distributions of the kth order statistics for extremes of moving minima in arrays of independent random variables.
Frieze, Alan, Vempala, Santosh, Vera, Juan (2010)
The Electronic Journal of Combinatorics [electronic only]
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A. K. Olapade (2005)
Kragujevac Journal of Mathematics
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Shola Adeyemi, Mathew Oladejo Ojo (2003)
Kragujevac Journal of 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.
Stoynov, Pavel (2011)
Union of Bulgarian Mathematicians
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Павел Т. Стойнов - В тази работа се разглежда отрицателно биномното разпределение, известно още като разпределение на Пойа. Предполагаме, че смесващото разпределение е претеглено гама разпределение. Изведени са вероятностите в някои частни случаи. Дадени са рекурентните формули на Панжер. In this paper the mixed negative binomial distribution, known also as P´olya distribution is considered. We suppose that the mixing distribution is a weighted Gamma distribution. We derive...
Shervashidze, T. (1997)
Georgian Mathematical Journal
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Małgorzata Bogdan (1994)
Applicationes Mathematicae
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We study the asymptotic distributions of linear combinations of order statistics (L-statistics) which can be expressed as differentiable statistical functionals and we obtain Berry-Esseen type bounds and the Edgeworth series for the distribution functions of L-statistics. We also analyze certain saddlepoint approximations for the distribution functions of L-statistics.