论文标题

通过应用于稳定分布的应用程序估算的重尾计数分布

Censoring heavy-tail count distributions for parameter estimation with an application to stable distributions

论文作者

Di Noia, Antonio, Marcheselli, Marzia, Pisani, Caterina, Pratelli, Luca

论文摘要

当概率生成函数可用时,即使概率质量函数的封闭形式和/或有限矩不存在,也引入了基于审查和力矩标准的新方法,以进行计数分布的参数估计。

A new approach based on censoring and moment criterion is introduced for parameter estimation of count distributions when the probability generating function is available even though a closed form of the probability mass function and/or finite moments do not exist.

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