Simple α-μ approximation to lognormal sums

Bing Wang, G. Cui, L. Kong, Wei Yi
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引用次数: 1

Abstract

In this paper, we adopt the α-μ distribution to approximate the statistic distribution of the sum of independent and possibly non-identically distributed lognormal variables, and obtain the shape and scale parameters using both the moment matching method and Non-linear Least Square Method. Finally, we evaluate the performance via numerical simulations, the results illustrate that the α-μ approximation fits well the sum of the lognormal variables.
对数正态和的简单α-μ近似
本文采用α-μ分布来近似独立和可能非同分布的对数正态变量和的统计分布,并采用矩匹配法和非线性最小二乘法获得形状和尺度参数。最后,通过数值模拟对算法的性能进行了评价,结果表明α-μ近似与对数正态变量的和拟合良好。
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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