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.

The Annals of Applied Probability, Vol. 9, No. 4 (Nov., 1999), pp. 1202-1225 (24 pages) This paper analyzes the performance of importance sampling distributions for computing expectations with respect ...

The purpose of the paper is to derive and discuss the properties of a system of single sampling attribute plans obtained by minimizing the average costs under the assumptions that sampling and ...