# Gamma Distribution

The **Gamma** distribution is widely used in engineering, science, and business, to model continuous variables that are always positive and have skewed distributions. In **RocFall**, the **Gamma** distribution can be useful for any variable which is always positive.

The **Gamma** distribution has the following probability density function:

where G( a) is the Gamma function, and the parameters a and b are both positive, i.e. a > 0 and b > 0.

- a is known as the shape parameter, while b is referred to as the scale parameter.
- b has the effect of stretching or compressing the range of the Gamma distribution. A Gamma distribution with b = 1 is known as the standard Gamma distribution.

The **Gamma** distribution represents a family of shapes. As suggested by its name, a controls the shape of the family of distributions. The fundamental shapes are characterized by the following values of a:

## Case I (a < 1)

When a < 1, the Gamma distribution is exponentially shaped and asymptotic to both the vertical and horizontal axes.

## Case II ( a = 1)

A Gamma distribution with shape parameter a = 1 and scale parameter b is the same as an exponential distribution of scale parameter (or mean) b.

## Case III ( a > 1)

When a is greater than one, the Gamma distribution assumes a mounded (unimodal), but skewed shape. The skewness reduces as the value of a increases.

Examples of shapes of the standard Gamma distributions with different values of a are shown in the figure below.

The shape and scale parameters of a **Gamma** distribution can be calculated from its mean m and standard deviation s according to the relationships:

From the expression for a , it can be seen that:

- Case I of the
**Gamma**distributionâ€™s shape occurs when the mean m is less than the standard deviation s. - Case II â€“ the case of the exponential distribution â€“ occurs when the mean is equal to the standard deviation.
- The third shape of the
**Gamma**distribution arises when the mean is greater than the standard deviation.

The **Gamma** distribution is sometimes called the Erlang distribution, when its shape parameter a is an integer.