Abstract Some distribution functions have been characterized based on two non-adjacent generalized and dual generalized order statistics. Moreover, we show that these characterization properties provide a beneficial strategy to predict future events, which are based on past or current events and on an arbitrary distribution function.

中文翻译：

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通过广义和双广义阶统计进行表征，并应用于统计预测问题

摘要 一些分布函数是基于两个不相邻的广义和对偶广义阶统计量来表征的。此外，我们表明这些表征特性提供了一种有益的策略来预测未来事件，这些事件基于过去或当前事件以及任意分布函数。