On the multivariate skew-normal distribution and its scale mixtures.
Vernic, Raluca (2005)
Analele Ştiinţifice ale Universităţii “Ovidius" Constanţa. Seria: Matematică
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Vernic, Raluca (2005)
Analele Ştiinţifice ale Universităţii “Ovidius" Constanţa. Seria: Matematică
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Sayed Mohsen Mirhosseini, Mohammad Amini, Ali Dolati (2015)
Applications of Mathematics
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In this paper, we study a general structure for the so-called Farlie-Gumbel-Morgenstern (FGM) family of bivariate distributions. Through examples we show how to use the proposed structure to study dependence properties of the FGM type distributions by a general approach.
W. Fieger, W. Bischoff (1991)
Metrika
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T. Royen (1991)
Metrika
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G. S. Lingappaiah (1984)
Trabajos de Estadística e Investigación Operativa
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Discrete analogue of the Liouville distribution is defined and is termed as Discrete Generalized Liouville-Type Distribution (DGL-TD). Firstly, properties in its factorial and ordinary moments are given. Then by finding the covariance matrix, partial and multiple correlations for DGL-TD are evaluated. Multinomial, multivariate negative binomial and multivariate log series distributions are shown as particular cases of this general distribution. The asymptotic distribution of the estimates...
B.C. Arnold, M. Pourahmadi (1988)
Metrika
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Eusebio Gómez, Miguel A. Gómez-Villegas, J. Miguel Marín (2003)
Revista Matemática Complutense
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In this paper it is taken up a revision and characterization of the class of absolutely continuous elliptical distributions upon a parameterization based on the density function. Their properties (probabilistic characteristics, affine transformations, marginal and conditional distributions and regression) are shown in a practical and easy to interpret way. Two examples are fully undertaken: the multivariate double exponential distribution and the multivariate uniform distribution. ...
Nooshin Hakamipour, Sadegh Rezaei, Saralees Nadarajah (2015)
Kybernetika
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Many lifetime distributions are motivated only by mathematical interest. Here, eight new families of distributions are introduced. These distributions are motivated as models for the stress of a system consisting of components working in parallel/series and each component has a fixed number of sub-components working in parallel/series. Mathematical properties and estimation procedures are derived for one of the families of distributions. A real data application shows superior performance...