The uniform distribution is useful for sampling from arbitrary distributions. The normal distribution is a subclass of the elliptical distributions. Inversion formulas for multivariate distributions are available. See Cumulants of some discrete probability distributions. Subexponentiality is defined in terms of convolutions of probability distributions. There are several ways of deriving formulae for the convolution of probability distributions. The characteristic function exists for all probability distributions. The covariance matrix is related to the moment of inertia tensor for multivariate distributions. The ratio of two normal distributions is also bimodally distributed. The proof for this follows from the definitions of multivariate normal distributions and linear algebra. Exponential families include many of the most common distributions. Colored objects are perceived differently under light sources with differing spectral distributions. The negative binomial distributions have so that . Several Linux distributions and BSD operating systems include MariaDB. It may get a deduction for later distributions of income.