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Central Limit Theorem: A sampling distribution of the mean is approximately normally distributed if the sample size is sufficiently large. This is true no matter what the population distribution is.

Monte Carlo importance sampling for evaluating numerical integration is discussed. We consider a parametric family of sampling distributions and propose the use of the sampling distribution estimated ...

https://doi.org/10.1899/04-085.1 • https://www.jstor.org/stable/10.1899/04-085.1 Copy URL AbstractTwo-phase sampling provides a statistical framework for combining ...