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On revelation transforms that characterize probability distributions

机译:关于揭示概率分布的启示变换

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A characterization of exponential, geometric and of distributions with almost-lack-of-memory property, based on the “revelation transform of probability distributions” and “relevation of random variables” is discussed. Known characterizations of the exponential distribution on the base of relevation transforms given by Grosswald et al. [4], and Lau and Rao [7] are obtained under weakened conditions and the proofs are simplified. A characterization the class of almost-lack-of-memory distributions through the relevation is specified.
机译:讨论了基于“概率分布的揭示变换”和“随机变量的相关性”的具有几乎内存不足特性的指数,几何和分布特征。 Grosswald等人给出的基于关联变换的指数分布的已知特征。 [4]和Lau和Rao [7]是在弱化条件下获得的,并且简化了证明。指定了通过关联性来描述几乎没有内存的分布的类别。

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