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SIMULATING MULTIVARIATE DISTRIBUTIONS WITH SPECIFIC CORRELATIONS

机译:模拟具有特定相关性的多元分布

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摘要

The mixture approach for simulating bivariate distributions introduced by Michael, J. R. and Schucany, W. R. (2002). The mixture approach for simulating bivariate distributions with specific correlations. The American Statistician, 56, 48-54, is generalized to generate pseudo-random numbers from multivariate distributions. The simulated joint distributions have identical marginals and equal positive pairwise correlations. The approach is illustrated for the p-dimensional families of beta and gamma distributions. For these families the formulas for the correlations have simple closed forms and the computations are quite simple.
机译:由Michael,J. R.和Schucany,W. R.(2002)引入的用于模拟双变量分布的混合方法。用于模拟具有特定相关性的双变量分布的混合方法。 56、48-54岁的美国统计学家被概括为从多元分布中生成伪随机数。模拟的关节分布具有相同的边际和相等的正成对相关性。针对β和γ分布的p维族说明了该方法。对于这些族,相关性的公式具有简单的封闭形式,并且计算非常简单。

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