We provide an explicit gradient formula for linear chance constraints under a (possibly singular) multivariate Gaussian distribution. This formula allows one to reduce the calculus of gradients to the ...

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 ...

The following is chart of a Gaussian distribution function, which basically shows the probability distribution of an event occurring in a data sample with a standard deviation of σ.

Gaussian distribution with three parameters can be used to describe monodisperse particles. PSDs characterized by a large long size tail can be described by the power-law relationship between the ...

It is a graph of a normal (Gaussian) distribution, with a large, rounded peak tapering away at each end. It is assumed that during any measurement, values will follow a normal distribution, with ...