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.

This paper is an extension of previous work by the writer concerning progressively censored sampling in the normal distribution [4] and in the Weibull distribution [6]. Here local maximum likelihood ...