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A General Mixture-Truncation Method for Generating Bivariate Random Variables from Univariate Generators

机译:从单变量发生器生成二元随机变量的一般混合截断方法

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This thesis deals with the generation of bivariate random variables with identical marginal distributions and specified correlation coefficients. Many schemes have been put forward for different cases; they almost always involve computing the inverse probability distribution of the marginal distributions or exploiting special properties of the random variables in question. A simple mixture-truncation method is put forward here to generate bivariate distributions with any marginal distribution from univariate generators.

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