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Some properties and generalizations of multivariate Eyraud-Gumbel-Morgenstern distributions
Authors:Stamatis Cambanis
Institution:University of North Carolina at Chapel Hill USA
Abstract:The admissible values of the coefficient in a bivariate Eyraud-Gumbel-Morgenstern (EGM) distribution are found. For multivariate EGM distributions necessary and sufficient conditions are given for its coefficients, and its conditional distributions are found and shown to belong to a family of distributions further extending the multivariate EGM family.
Keywords:Multivariate Eyraud-Gumbel-Morgenstern distributions  conditional distributions
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