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Using the sum-of-uniforms method to generate correlated random variates with certain marginal distribution

机译:使用均匀性和方法生成具有一定边际分布的相关随机变量

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This paper extends the sum-of-uniforms method to generate correlated random variables with certain marginal distributions. We first use the transformation method to derive the joint probability density function of the correlated uniform random variables. We also demonstrate that the sum-of-uniforms method can be extended to generate correlated random variables with certain marginal distributions including uniform, exponential, Erlang. Bernoulli, binomial, geometric, and negative binomial. Finally, this paper presents the exact correlation coefficients of such correlated random variables. (c) 2004 Published by Elsevier B.V.
机译:本文扩展了均匀和方法,以生成具有一定边际分布的相关随机变量。我们首先使用变换方法来推导相关的均匀随机变量的联合概率密度函数。我们还证明了均匀和方法可以扩展为生成具有一定边际分布(包括均匀,指数,Erlang)的相关随机变量。伯努利,二项式,几何和负二项式。最后,本文给出了此类相关随机变量的精确相关系数。 (c)2004年由Elsevier B.V.

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