# Basics about statistical distributions for events random in time

## Poisson Process

We will study the case of the input events being described by a Poisson Process, the most common case for events random in time.

Without going into mathematical formalism, roughly described, events adhering to the following conditions can be labeled to be generated by a Poission Process:

- The time of an event is independent of the time of the previous event
- The events have a fixed average rate

Some examples of phenomena well-modeled by a Poisson Process are:

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