Normal, or Gaussian, distribution describes a pattern where values in your defined range occur more frequently around a center point, or mean. Using the sales projection example, you observe that ...

Think of noise, for example. Many noisy processes are described by Gaussian probability distributions. We should take a look at the mathematics of that. Consider the equation of the “bell curve” for a ...

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 ...

A Gaussian equation was used along with an “IF” function to zero out the center values. The plots for this bi-modal distribution reveals an intuitive understanding of the method (Fig. 3).

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 ...

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 ...