Abstract This paper presents matrix-exponential (ME) distributions, whose squared coefficient of variation (SCV) is very low. Currently, there is no symbolic construction available to obtain the most concentrated ME distributions, and the numerical optimization-based approaches to construct them have many pitfalls. We present a numerical optimization-based procedure which avoids numerical issues.

中文翻译：

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高阶集中矩阵指数分布

摘要 本文介绍了矩阵指数（ME）分布，其变异系数（SCV）非常低。目前，没有可用的符号构造来获得最集中的 ME 分布，并且基于数值优化的方法来构造它们有很多缺陷。我们提出了一个基于数值优化的程序，它避免了数值问题。