Counting process

A counting process is a stochastic process \{N(t), t\geq0\} with values that are non-negative, integer, and non-decreasing:

  1. N(t)\geq0.
  2. N(t) is an integer.
  3. If s\leq t then N(s)\leq N(t).

If s, then N(t)-N(s) is the number of events occurred during the interval (s,t]. Examples of counting processes include Poisson processes and Renewal processes.

Counting processes deal with the number of occurrences of something over time. An example of a counting process is the number of job arrivals to a queue over time.

If a process has the Markov property, it is said to be a Markov counting process.

See also

References

  • Ross, S.M. (1995) Stochastic Processes. Wiley. {{ISBN|978-0-471-12062-9}}
  • Higgins JJ, Keller-McNulty S (1995) Concepts in Probability and Stochastic Modeling. Wadsworth Publishing Company. {{ISBN|0-534-23136-5}}

Category:Stochastic processes