Results 1 to 10 of about 126,303 (310)
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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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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Construction of Continuous Bivariate Distribution by Transmuting Dependent Distribution
In this study, a new bivariate distribution family isintroduced by adding an appropriate term to independent class. By choosing abase distribution which is negatively dependent from the same marginals wederive a new distribution around the product of ...
Mehmet Yılmaz, Hüseyin Ünözkan
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This paper focuses on applying the Marshall-Olkin approach to generate a new bivariate distribution. The distribution is called the bivariate exponentiated Lomax distribution, and its marginal distribution is the exponentiated Lomax distribution ...
Sulafah M. S. Binhimd +6 more
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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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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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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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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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