The estimation of stable distribution parameters

S. Bates, S. McLaughlin
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引用次数: 10

Abstract

This paper concerns the estimation of the parameters that describe a stable distribution. Stable distributions are characterised by four parameters which can be estimated using a number of methods and although approximate maximum likelihood estimation (MLE) techniques do exist, they are computationally intensive. There are a number of techniques that are much faster than MLE and these are the focus of this paper. These techniques are compared and contrasted both for stable random variables and for teletraffic data.
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稳定分布参数的估计
本文研究描述稳定分布的参数估计问题。稳定分布由四个参数表征,这些参数可以使用许多方法进行估计,尽管存在近似最大似然估计(MLE)技术,但它们的计算量很大。有许多比MLE快得多的技术,这些是本文的重点。对于稳定随机变量和远程通信数据,对这些技术进行了比较和对比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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