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Parameter estimation for fractional birth and fractional death processes

机译:分数出生和分数死亡过程的参数估计

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The fractional birth and the fractional death processes are more desirable in practice than their classical counterparts as they naturally provide greater flexibility in modeling growing and decreasing systems. In this paper, we propose formal parameter estimation procedures for the fractional Yule, the fractional linear death, and the fractional sublinear death processes. The methods use all available data possible, are computationally simple and asymptotically unbiased. The procedures exploited the natural structure of the random inter-birth and inter-death times that are known to be independent but are not identically distributed. We also showed how these methods can be applied to certain models with more general birth and death rates. The computational tests showed favorable results for our proposed methods even with relatively small sample sizes. The proposed methods are also illustrated using the branching times of the plethodontid salamanders data of (Syst. Zool. 28:579-599, 1979).
机译:在实践中,分数出生和分数死亡过程比经典的过程更为可取,因为它们自然为建模增长和下降的系统提供了更大的灵活性。在本文中,我们提出了分数Yule,分数线性死亡和分数亚线性死亡过程的形式参数估计程序。该方法使用所有可能的数据,计算简单,并且渐近无偏。该程序利用了随机的出生间隔和死亡间隔时间的自然结构,这些间隔是已知的,但分布不均。我们还展示了如何将这些方法应用于具有更高出生率和死亡率的某些模型。计算测试表明,即使样本量相对较小,我们的方法仍能获得令人满意的结果。还使用了(Syst。Zool。28:579-599,1979)的正畸齿sal数据的分支时间来说明所提出的方法。

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