Results 41 to 50 of about 6,296,385 (258)
On a property of bivariate distributions
AbstractShanbag gave a characterization of the exponential and geometric distribution in terms of conditional expectations. Recently, Kotlarski generalized his method to obtain some properties of univariate probability distributions through conditional expectations.
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A Generalization of the Bivariate Gamma Distribution Based on Generalized Hypergeometric Functions
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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In this note we consider the joint distribution of Student variates $(t_1, t_2)$, where $t_1$ corresponds to the $x$-observations and $t_2$ to $y$-observations from a bivariate normal distribution. No applications are suggested as Hotelling's $T^2$ is more appropriate whenever estimation of covariance matrix is necessary.
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The Bivariate Odd Lindley Half-Logistic (BOLiHL) distribution with progressive Type-II censoring provides a powerful statistical tool for analyzing dependent data effectively.
Shruthi Polipu, Jiju Gillariose
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On a Bivariate XGamma Distribution Derived from Copula
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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Quantifying Bar Strength: Morphology Meets Methodology
A set of objective bar-classification methods have been applied to the Ohio State Bright Spiral Galaxy Survey (Eskridge et al. 2002). Bivariate comparisons between methods show that all methods agree in a statistical sense.
BG Elmegreen +9 more
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Halfplane Trimming for Bivariate Distributions
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
R. Theodorescu, J.-C. Massé
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New Results On the Sum of Two Generalized Gaussian Random Variables
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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Long Short-Term Memory (LSTM) infers the long term dependency through a cell state maintained by the input and the forget gate structures, which models a gate output as a value in [0,1] through a sigmoid function.
Jang, JoonHo +3 more
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The Bivariate Unit-Sinh-Normal Distribution and Its Related Regression Model
In this paper, a new bivariate absolutely continuous probability distribution is introduced. The new distribution, which is called the bivariate unit-sinh-normal (BVUSHN) distribution, arises by applying a transformation to the bivariate Birnbaum ...
Guillermo Martínez-Flórez +3 more
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