EasyFit – Easily Fit Distributions to Your Data!

# Continuous Distributions

## Distribution Types

EasyFit supports a number of continuous distributions divided into four categories (distribution types):

• bounded;
• unbounded;
• non-negative;

## Bounded Distributions

The bounded distributions have a range of [a, b]:

## Unbounded Distributions

The unbounded distributions have a range of (-Infinity, +Infinity):

## Non-Negative Distributions

Most of the non-negative distributions are defined for, so , where (gamma) is a continuous location parameter.

The non-negative distributions can be simplified if we set the location parameter to a fixed value of 0. This simplified form is quite frequently used in many applications. However, in certain cases the inclusion of the location parameter allows to develop more valid models. For example, both two-parameter and three-parameter Weibull distributions are widely used in practice.

Thus, most supported non-negative distribution are available in two different forms, or versions: full and simplified (see Fitting Non-Negative Distributions).

EasyFit supports the following non-negative distributions:

 Distribution Parameters SimplifiedForm FullForm Burr , , , , , Chi-Squared , Dagum , , , , , Erlang , , , Exponential , F Distribution , Fatigue Life(Birnbaum-Saunders) , , , Frechet , , , Gamma , , , Generalized Gamma , , , , , Inverse Gaussian , , , Levy , Log-Gamma , Log-Logistic , , , Lognormal , , , Nakagami , Pareto (First Kind) , Pareto (Second Kind) , Pearson Type 5 , , , Pearson Type 6 , , , , , Rayleigh , Rice , Weibull , , ,