The PERT distribution is a
continuous distribution bounded
on
both sides. Being an alternative distribution to the Triangular, it has
the same three inputs, Minimum, Most Likely, and Maximum, but is a
smooth curve that puts less emphasis on extreme values.
The PERT distribution is often used in risk analysis applications, e.g.
in Monte Carlo simulations to assess cost and project duration risks.
Samples (PDF, CDF)
Generates a sample of the PERT distribution.
Name | Type | Description |
min | double | the minimum x value |
max | double | the maximum x value |
mode | double | the most likely x value |
Type | Description |
double | the generated sample |
Generates a sample of the PERT distribution using the specified random number generator.
Name | Type | Description |
min | double | the minimum x value |
max | double | the maximum x value |
mode | double | the most likely x value |
r | java.util.Random | the random number generator |
Type | Description |
double | the generated sample |