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On bivariate pseudo-exponential distributions

机译:关于双伪指数分布

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A bivariate conditionally specified distribution is one in which the dependence relationship between the two random variables is accomplished by defining the distribution of one of the random variables, given the other. One such conditionally specified model is called the pseudo-exponential distribution, where both the marginal distribution of one and the conditional distribution of the other, given the first, are exponential. In this paper, a variation of this conditioning regime is introduced, and its characteristics are contrasted with the original. An example is used to demonstrate the applicability of the new model. Per-capita Gross Domestic Product (GDP) is a measure of a nation's total annual production of goods and services, divided by its population. Two variations of both the original and the new conditioning regime are applied to GDP and infant mortality data across nations and territories. Possible generalizations are considered.
机译:双变量有条件指定的分布是通过定义一个随机变量的分布来完成两个随机变量之间的依赖关系的分布。一个这样的条件指定的模型被称为伪指数分布,其中一个和另一个的另一个和另一个的条件分布的边缘分布是指数级的。在本文中,引入了该调理制度的变化,其特征与原始的特征形成对比。一个例子用于展示新模型的适用性。人均国内生产总值(GDP)是一项衡量全国各国商品和服务的总产量,除以其人口。原始和新的调理制度的两个变体适用于各国和地区的GDP和婴儿死亡率数据。考虑可能的概括。

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