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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.
Sankhyā: The Indian Journal of Statistics, Series B (1960-2002), Vol. 30, No. 3/4 (Dec., 1968), pp. 425-428 (4 pages) This paper presents an approximation to the distribution function of X = 1/2 (r+1) ...
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 ...