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.

A Gaussian approximation to the distribution of the sample variance is developed using the Wilson-Hilferty (1931) approach. This approximation is compared with the well-known approximations due to Box ...

This paper is devoted, in the main, to proving the asymptotic minimax character of the sample distribution function (d.f.) for estimating an unknown d.f. in $\mathscr{F}$ or $\mathscr{F}_c$ (defined ...

GUM, the internationally approved technique for calculating measurement uncertainty, is reliant on the availability of a certified reference sample. Likewise, to find any repeatable offset (systematic ...