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A Multivariate Gompertz-Type Distribution

机译:多元Gompertz型分布

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摘要

Multivariate extensions of the Gompertz distribution are plausible models for the study of several dependent populations with a Gompertz law of growth or multivariate survival data. In this paper we introduce a multivariate distribution with univariate marginal distributions of Gompertz-type form. The new distribution is expressed in closed form and shows symmetry in the component variables. We provide explicit expressions for the first moments of the univariate marginals, which are functions of the Euler constant Specifically we develop a trivariate Gompertz-type distribution and afterwards consider the multivariate case as an immediate extension of the same. The problem of estimating the parameters of the new multivariate distribution is also discussed.
机译:Gompertz分布的多变量扩展是研究具有Gompertz增长定律或多变量生存数据的几个相关种群的合理模型。在本文中,我们介绍了具有Gompertz型形式的单变量边际分布的多元分布。新分布以封闭形式表示,并在组件变量中显示对称性。我们为单变量边际的第一刻提供明确的表达式,这是Euler常数的函数。具体来说,我们开发了三变量Gompertz型分布,然后将多变量情况视为该变量的立即扩展。还讨论了估计新的多元分布的参数的问题。

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