Determination of statistical distribution of water tree lengths: Monte Carlo simulation

T. Czaszejko
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引用次数: 5

Abstract

In this paper, results of Monte Carlo simulation, employed to determine the statistical distribution type for water tree lengths, are presented. The simulation involved generating log-normal and Weibull distributed populations from which left-truncated samples were drawn in the way resembling the process of water tree measurements performed with a finite resolution of 2.5 /spl mu/m. Then, distribution plots for truncated log-normal and truncated Weibull samples were compared, all in relation to the distribution plots typically obtained from microscopic measurements. The results obtained from the Monte Carlo simulation point to the log-normal distribution as a favorable statistical model, appropriate for representing a population of water tree lengths.
确定水树长度的统计分布:蒙特卡罗模拟
本文给出了用于确定水树长度统计分布类型的蒙特卡罗模拟结果。模拟涉及生成对数正态分布和威布尔分布总体,从中提取左截断的样本,其方式类似于以2.5 /spl mu/m的有限分辨率进行的水树测量过程。然后,将截断的对数正态分布图和截断的威布尔样本的分布图进行比较,所有分布图都与通常从微观测量中获得的分布图相关。从蒙特卡罗模拟得到的结果点以对数正态分布作为有利的统计模型,适合于表示一个种群的水树长度。
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