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Random Variate Generation for Exponentially and Polynomially Tilted Stable Distributions

机译:指数和多项式倾斜稳定分布的随机变量生成

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摘要

We develop exact random variate generators for the polynomially and exponentially tilted unilateral stable distributions. The algorithms, which generalize Ranter's method, are uniformly fast over all choices of the tilting and stable parameters. The key to the solution is a new distribution which we call Zolotarev's distribution. We also present a novel double rejection method that is useful whenever densities have an integral representation involving an auxiliary variable.
机译:我们为多项式和指数倾斜的单边稳定分布开发精确的随机变量生成器。泛化Ranter方法的算法在所有倾斜和稳定参数选择上均一律快速。解决方案的关键是一个新发行版,我们称为Zolotarev发行版。我们还提出了一种新颖的双重拒绝方法,该方法在密度具有涉及辅助变量的积分表示时很有用。

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