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On the duality of certain characterizations of the exponential and the geometric distributions

机译:关于指数分布和几何分布某些特征的对偶性

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Let (N(t), t<0) be a homogeneous Poisson process with parameter lambda =1. Let Z be a nonnegative random variable which is distributed independently of (N(t), t<0) according to a mixed game distribution. Xekalaki and Panaretos (1988) showed that the form of F (the mixing distribution) is uniquely determined by that of the distribution of N(Z). They also showed that certain characterizations of N(Z) can be derived through characterizations of F. In this paper it is demonstrated that through the above mentioned results a deeper insight is gained into the relationship of the distribution duals (geometric-exponential and Yule-Pareto). Two characterization theorems are also shown for the exponential distribution which can be thought of as variants of Govindarajulu's (1966) and Crawford's (1966) characterizations of the exponential distribution as the corresponding characterizing conditions are weaker than those used by them.
机译:令(N(t),t <0)是参数为lambda = 1的齐次Poisson过程。令Z为非负随机变量,它根据混合游戏分布独立于(N(t),t <0)分布。 Xekalaki和Panaretos(1988)表明,F的形式(混合分布)是由N(Z)的分布唯一地确定的。他们还表明,可以通过F的表征来推导N(Z)的某些表征。本文证明,通过上述结果,我们可以更深入地了解分布对偶的关系(几何指数对和Yule-帕累托)。还针对指数分布显示了两个表征定理,可以将它们视为Govindarajulu(1966)和Crawford(1966)对指数分布的表征的变体,因为相应的表征条件比它们所使用的弱。

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