Discrete distributions come from a variety of backgrounds, but perhaps the most common relate back to the simple Bernoulli trial, which chooses between two outcomes, called ...

The central limit theorem asserts that means of independent, identically distributed variables will converge to a normal distribution provided they are light tailed enough. ...

Bounded domain distributions naturally come up when random variables should only vary in a finite interval. Some distributions, like beta, occur in a variety of ways, ...

Unicode: 0F3D2. Aliases: Esc dist Esc. Infix operator with built-in evaluation rules. xdist is by default interpreted as Distributed[x,dist].

When building an initial statistical model, you may not have a good idea of what parametric distribution family it should come from. Nonparametric distributions make very few ...

Actuarial science is in some ways older than probability and statistics itself and was in many ways instrumental in the development of probability and statistics. One of the ...

There are many types of distributions that are relevant for communication systems. In telecom, for instance, exponential and Erlang distributions modeling talk lengths are ...

ChiDistribution[\[Nu]] represents a \[Chi] distribution with \[Nu] degrees of freedom.

Statistical distributions have applications in many fields, including the biological, social, and physical sciences. Mathematica represents statistical distributions as ...

In almost every area where probability and statistics are used there have been found a few parametric distribution families that are known to be good models. The origins vary ...