As with all probability distributions, the Normal Distribution describes how the values of your data are distributed. Subsequently, it is one of the most important probability distributions in ...

The normal distribution is a continuous probability distribution that is symmetrical, bell-shaped, and centred around its mean. It is one of the most important distributions in statistics because many ...

The usefulness of finding a simple expression for the characteristic function (CF, a.k.a Fourier transform FT) of the lognormal distribution has been made clear in a variety of contexts: from ...

The normal distribution formula is based on two simple parameters—mean and standard deviation—that quantify the characteristics of a given dataset.

Computation of the lognormal characteristic function (CF) is required in analysis of many wireless communication systems. No closed-form expression exists for the lognormal CF. In this paper, two ...

Abstract: Numerical computation of lognormal characteristic functions is a challenging problem because the defining integral formulas are not well suited to the more common numerical integration ...

Shrinkage Estimation and Balanced Loss Functions in Multivariate Normal Distribution Publication ... can effectively denoise complex data sets while preserving essential structural characteristics.