About

A stochastic process is a process where the variable is a random variable that is time dependent.

A stochastic process is not deterministic, ie given a particular input, he is: * more likely to produce some outputs * less likely to produce others.

Example

Example of random variable:

• number of concurrent user
• number of jobs in a queue
• internet traffic
• system available capacity
• stock price
• air temperatur

Distribution

• poisson process - counts the number of events in a given interval (mostly time)
• More … See Stochastic Distribution

Simulation

Process - Monte Carlo (method|experiment) (stochastic process simulations)

Documentation / Reference

• (Stochastic|random) process
• Statistics for Engineers Applying statistical techniques to operations data
• Georgii, H.-O. 2002. Stochastik. DeGruyter.