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A Method for Simulating Stable Random Variables

, , und . Journal of the American Statistical Association, 71 (354): 340--344 (1976)

Zusammenfassung

A new algorithm is presented for simulating stable random variables on a digital computer for arbitrary characteristic exponent $\alpha(0 < 2)$ and skewness parameter β(-1 ≤ β ≤ 1). The algorithm involves a nonlinear transformation of two independent uniform random variables into one stable random variable. This stable random variable is a continuous function of each of the uniform random variables, and of α and a modified skewness parameter β' throughout their respective permissible ranges.

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