无均值间更新极值更新过程中解析固定有限时间大概率分布的逼近

IF 0.7 3区 工程技术 Q4 ENGINEERING, INDUSTRIAL
P. H. Brill, M. Huang
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引用次数: 0

摘要

我们考虑一个具有无平均重尾Pareto(II)间更新和形状参数$\alpha$的极端更新过程,其中$0<\alpha \leq 1$。导出固定有限时间$t$过剩、年龄和总寿命的解析概率密度函数的积分表达式需要两个步骤,并且需要大量的计算。步骤1为文本中定义的基本底层再生过程的限制pdf创建并求解第二类Volterra积分方程,该方程用于所有三个固定有限时间$t$ pdf。步骤2基于基本底层再生过程中的极限pdf构建上述积分表达式。不存在固定有限时间$t$ pdf为$t\rightarrow \infty$的极限pdf。为了合理地观察极端更新过程中较大的$t$ pdf,我们使用具有简单已知公式的极限pdf来近似它们,其中更新间变量为均值有限的右截断Pareto(II)变量;这不涉及任何计算。近似的极限pdf与解析的固定有限时间大的$t$ pdf之间的距离由$L_{1}$度量给出,其值在$(0,1)$中,其中“近$0$”表示“近”,“近$1$”表示“远”。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On approximation of the analytic fixed finite time large t probability distributions in an extreme renewal process with no-mean inter-renewals
We consider an extreme renewal process with no-mean heavy-tailed Pareto(II) inter-renewals and shape parameter $\alpha$ where $0<\alpha \leq 1$ . Two steps are required to derive integral expressions for the analytic probability density functions (pdfs) of the fixed finite time $t$ excess, age, and total life, and require extensive computations. Step 1 creates and solves a Volterra integral equation of the second kind for the limiting pdf of a basic underlying regenerative process defined in the text, which is used for all three fixed finite time $t$ pdfs. Step 2 builds the aforementioned integral expressions based on the limiting pdf in the basic underlying regenerative process. The limiting pdfs of the fixed finite time $t$ pdfs as $t\rightarrow \infty$ do not exist. To reasonably observe the large $t$ pdfs in the extreme renewal process, we approximate them using the limiting pdfs having simple well-known formulas, in a companion renewal process where inter-renewals are right-truncated Pareto(II) variates with finite mean; this does not involve any computations. The distance between the approximating limiting pdfs and the analytic fixed finite time large $t$ pdfs is given by an $L_{1}$ metric taking values in $(0,1)$ , where “near $0$ ” means “close” and “near $1$ ” means “far”.
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来源期刊
CiteScore
2.20
自引率
18.20%
发文量
45
审稿时长
>12 weeks
期刊介绍: The primary focus of the journal is on stochastic modelling in the physical and engineering sciences, with particular emphasis on queueing theory, reliability theory, inventory theory, simulation, mathematical finance and probabilistic networks and graphs. Papers on analytic properties and related disciplines are also considered, as well as more general papers on applied and computational probability, if appropriate. Readers include academics working in statistics, operations research, computer science, engineering, management science and physical sciences as well as industrial practitioners engaged in telecommunications, computer science, financial engineering, operations research and management science.
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