Characterizations of multivariate distributions with limited memory revisited: An analytical approach

Pub Date : 2023-01-01 DOI:10.30757/alea.v20-39
Natalia Shenkman
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Abstract

. Alternative proofs of the characterizations of the wide-sense geometric and of the Marshall-Olkin exponential distributions via monotone set functions are provided. In contrast to the ones presented in Shenkman (2017), which rely on the generative constructions of Arnold (1975) or Marshall and Olkin (1967) to establish that certain functions equipped with monotone parameters are proper survival functions, we aim herein to check that these candidates satisfy a set of well known necessary and sufficient analytical conditions. The major difficulty in such an approach consists in verifying that they do not infringe any of the so-called rectangle inequalities. Fortunately, a factorization shows that compliance is guaranteed as long as a finite number of very specific “basis” rectangle inequalities are not violated: a condition which is, by the very definition of the monotone parameters, trivially met.
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重新考察有限内存的多变量分布特征:一种分析方法
。通过单调集合函数给出了广义几何分布和Marshall-Olkin指数分布表征的替代证明。Shenkman(2017)依靠Arnold(1975)或Marshall and Olkin(1967)的生成构造来确定某些配备单调参数的函数是适当的生存函数,与之相反,我们在这里的目的是检查这些候选函数是否满足一组众所周知的充分必要分析条件。这种方法的主要困难在于核实它们不违反任何所谓的矩形不等式。幸运的是,因式分解表明,只要不违反有限数量的非常特定的“基”矩形不等式,就可以保证遵从性:根据单调参数的定义,这个条件通常是满足的。
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