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Estimation of typical sum of lognormal random variables using log shifted gamma approximation

机译:使用对数移位的伽玛近似估计对数正态随机变量的典型和

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摘要

The sum of lognormal distributions is a well-known problem that no closed-form expression exists and it is difficult to evaluate numerically. In this paper, log shifted gamma (LSG) approximation method is proposed to represent the sum of lognormal distributions and to derive a closed-form expression of the typical value of the sum. Illustrative results show that the LSG model provides much more accurate approximation than other previous methods for a wide range of lognormal variances.
机译:对数正态分布的总和是一个众所周知的问题,不存在闭合形式的表达式,并且很难进行数值计算。在本文中,提出了对数移位伽玛(LSG)近似方法来表示对数正态分布的总和,并得出该和的典型值的闭式表达式。说明性结果表明,对于大范围的对数正态方差,LSG模型提供的精确逼近度比其他先前方法高得多。

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