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Re-examination of the Taper Models by Stochastic Differential Equations

机译:用随机微分方程重新检验锥度模型

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This paper introduces the application of stochastic differential equations for the tree taper modeling. We propose to model taper curves using stochastic differential equations that are deduced from the standard deterministic growth function by adding random variations to the growth dynamics. It is assumed that the conditional distribution of the taper diffusion process has an explicit form. We illustrate the efficiency of our method using the logistic and Vasicek diffusion processes to model data on Scots pine trees.
机译:本文介绍了随机微分方程在树锥度建模中的应用。我们建议使用随机微分方程对锥度曲线进行建模,该随机微分方程是通过将随机变量添加到生长动力学中而从标准确定性生长函数推导出来的。假定锥形扩散过程的条件分布具有显式形式。我们说明了使用logistic和Vasicek扩散过程对苏格兰松树数据进行建模的方法的效率。

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