On negatively skewed extended generalized logistic distribution
A. K. Olapade (2005)
Kragujevac Journal of Mathematics
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A. K. Olapade (2005)
Kragujevac Journal of Mathematics
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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...
Matthev O. Ojo, A.K. Olapade (2004)
Kragujevac Journal of Mathematics
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M.O. Ojo, A.K. Olapade (2003)
Kragujevac Journal of Mathematics
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M. Ivette Gomes, Marta Ferreira, Víctor Leiva (2012)
Biometrical Letters
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The Birnbaum-Saunders (BS) model is a life distribution that has been widely studied and applied. Recently, a new version of the BS distribution based on extreme value theory has been introduced, named the extreme value Birnbaum-Saunders (EVBS) distribution. In this article we provide some further details on the EVBS models that can be useful as a supplement to the existing results. We use these models to analyse real survival time data for patients treated with alkylating agents for...
Teerapabolarn, K. (2011)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
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Quiroz, A.J., Tapia, J.M. (2007)
Divulgaciones Matemáticas
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Ilona Kopocińska (1999)
Applicationes Mathematicae
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The bivariate negative binomial distribution is introduced using the Marshall-Olkin type bivariate geometrical distribution. It is used to the estimation of the distribution of the number of accidents in standard data.
Roşca, Alin V., Roşca, Natalia C. (2010)
Acta Universitatis Apulensis. Mathematics - Informatics
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Agata Boratyńska, Ryszard Zieliński (1993)
Applicationes Mathematicae
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An upper bound for the Kolmogorov distance between the posterior distributions in terms of that between the prior distributions is given. For some likelihood functions the inequality is sharp. Applications to assessing Bayes robustness are presented.
Sarhan, Ammar M., Zaindin, Mazen (2009)
APPS. Applied Sciences
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Roşca, Natalia C. (2009)
Acta Universitatis Apulensis. Mathematics - Informatics
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