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Description of the Joint Probability of Significant Wave Height and Mean Wave Period
Journal of Marine Science and Engineering, 2022 The bivariate probability distribution of significant wave heights and mean wave periods has an indispensable guiding role in the implementation of offshore engineering, which has attracted great attention.
Mingwen Zhao, Xiaodong Deng, Jichao Wang
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New Results On the Sum of Two Generalized Gaussian Random Variables [PDF]
, 2015 We propose in this paper a new method to compute the characteristic function (CF) of generalized Gaussian (GG) random variable in terms of the Fox H function. The CF of the sum of two independent GG random variables is then deduced. Based on this results,
Alouini, Mohamed-Slim, Soury, Hamza
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Bivariate power Lomax distribution with medical applications.
PLoS ONE, 2023 In this paper, a bivariate power Lomax distribution based on Farlie-Gumbel-Morgenstern (FGM) copulas and univariate power Lomax distribution is proposed, which is referred to as BFGMPLx.
Maha E Qura +3 more
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A truncated bivariate inverted Dirichlet distribution
Statistica, 2013 A truncated version of the bivariate inverted dirichlet distribution is introduced. Unlike the inverted dirichlet distribution, this possesses finite moments of all orders and could therefore be a better model for certain practical situations.
Saralees Nadarajah
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Probabilistic derivation of a bilinear summation formula for the Meixner-Pollaczek polynominals
International Journal of Mathematics and Mathematical Sciences, 1980 Using the technique of canonical expansion in probability theory, a bilinear summation formula is derived for the special case of the Meixner-Pollaczek polynomials {λn(k)(x)} which are defined by the generating function ∑n=0∞λn(k)(x)zn/n!=(1+z)12(x−k)/(1−
P. A. Lee
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Nonparametric Bayesian Inference on Bivariate Extremes [PDF]
, 2010 The tail of a bivariate distribution function in the domain of attraction of a bivariate extreme-value distribution may be approximated by the one of its extreme-value attractor.
Guillotte, Simon +2 more
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Construction of Continuous Bivariate Distribution by Transmuting Dependent Distribution
Cumhuriyet Science Journal, 2019 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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Bivariate POISSON Binomial Distributions
Biometrical Journal, 1981 AbstractThree bivariate generalizations of the POISSON binomial distribution are introduced. The probabilities, moments, conditional distributions and regression functions for these distributions are obtained in terms of bipartitional polynomials. Recurrences for the probabilities and moments are also given.
Charalambides, Ch.A., Papageorgiou, H.
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A Generalization of the Bivariate Gamma Distribution Based on Generalized Hypergeometric Functions
Mathematics, 2022 In this paper, we provide a new bivariate distribution obtained from a Kibble-type bivariate gamma distribution. The stochastic representation was obtained by the sum of a Kibble-type bivariate random vector and a bivariate random vector builded by two ...
Christian Caamaño-Carrillo +1 more
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On a Bivariate XGamma Distribution Derived from Copula
Statistica, 2022 In this paper, a new bivariate XGamma (BXG) distribution is presented using Farlie-Gumbel-Morgenstern (FGM) copula. We derive the expressions for conditional distribution, regression function and product moments for the BXG distribution.
Mohammed Abulebda +3 more
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