绝对连续或离散数据的同时联合上下记录值的概率律

G. Lo, M. Ahsanullah, Aladji Babacar Niang
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引用次数: 0

摘要

本文研究了在同一概率空间上定义有公共pdf \(f\)的独立随机变量序列,当上下记录次数有限到\(n\)时,上下记录值的\((2n-1)\) -向量\((n\geq 1)\)的概率密度函数\textit{(pdf)}。当它们被分开研究时,我们对低记录值和高记录值有了很多了解。综合起来看,这些挑战要复杂得多。文献中罕见的结果仍然存在一些缺陷。本文以少量的记录(n=2\)和\(n=3\)开始了一个新的完整的研究。从这些简单案例中吸取的教训将有助于解决同时联合上下记录的一般形式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simultaneous Joint Lower and Upper record values Probability Laws for Absolutely Continuous or Discrete Data
This paper investigates the probability density function (pdf) of the \((2n-1)\)-vector \((n\geq 1)\) of both lower and upper record values for a sequence of independent random variables with common \textit{pdf} \(f\) defined on the same probability space, provided that the lower and upper record times are finite up to \(n\). A lot is known about the lower or the upper record values when they are studied separately. When put together, the challenges are far complicated. The rare results in the literature still present some flaws. This paper begins a new and complete investigation with a few number of records: (n=2\) and \(n=3\). Lessons from these simple cases will allow addressing the general formulation of simultaneous joint lower-upper records.
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