Results 11 to 20 of about 4,677,840 (301)
A New Bivariate Distribution Obtained by Compounding the Bivariate Normal and Geometric Distributions [PDF]
Recently, Mahmoudi and Mahmoodian [7] introduced a new class of distributions which contains univariate normal–geometric distribution as a special case.
Eisa Mahmoudi, Hamed Mahmoodian
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On bivariate geometric distribution
Characterizations of bivariate geometric distribution using univariate and bivariate geometric compounding are obtained. Autoregressive models with marginals as bivariate geometric distribution are developed.
K. Jayakumar, Davis Antony Mundassery
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Bivariate discrete Linnik distribution
Christoph and Schreiber (1998a) studied the discrete analogue of positive Linnik distribution and obtained its characterizations using survival function.
Davis Antony Mundassery, K. Jayakumar
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Testing the bivariate distribution of daily equity returns using copulas: an application to the Spanish stock market [PDF]
In this paper we deal with the identification of dependencies between time series of equity returns. Marginal distribution functions are assumed to be known, and a bivariate chi-square test of fit is applied in a fully parametric copula approach. Several
Roch, Oriol, Alegre Escolano, Antonio
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Bivariate Selberg-beta type 1 distribution
By using the well known Selberg integral we define a bivariate beta distribution.
Daya K. Nagar +2 more
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Bivariate Inverse Gaussian Distribution [PDF]
A bivariate inverse Gaussian (IG) density function is constructed and its characteristic function obtained. Relations of the bivariate IG distribution to the normal and x2 distributions are established.
E.K. Al-Husaini, N.S. Abdel-Hakim
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Power Families of Bivariate Proportional Hazard Models
In this paper, we propose a general class of bivariate proportional hazard distributions, which is based on the family of asymmetric proportional hazard distributions and the bivariate Pareto copula.
Guillermo Martínez-Flórez +2 more
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Generalized Bivariate Kummer-Beta Distribution
A new bivariate beta distribution based on the Humbert’s confluent hypergeometric function of the second kind is introduced. Various representations are derived for its product moments, marginal densities, marginal moments, conditional densities and ...
Daya K. Nagar +2 more
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Bivariate Discrete Modified Weibull (BDMW) Distribution
In this paper we develop a bivariate discrete modifiedWeibull (BDMW) distribution and derived some of its important properties such as joint survival function, marginal survival function, conditional survival function, joint probability generating ...
Damodaran Santhamani Shibu, Nimna Beegum
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In this study, a new approach to transmutation theory is developed by using negative dependency basement. Once choosing a distribution that has negative dependency with the same marginal, a new bivariate distribution is derived.
Mehmet Yılmaz, Hüseyin Ünözkan
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