| Article ID: | iaor2004679 |
| Country: | United States |
| Volume: | 19 |
| Issue: | 2 |
| Start Page Number: | 269 |
| End Page Number: | 285 |
| Publication Date: | Jan 2003 |
| Journal: | Communications in Statistics - Stochastic Models |
| Authors: | Craven B.D. |
| Keywords: | stochastic processes |
A Markov process in discrete time is perturbed by a small parameter. A perturbation theory is constructed, both for a time-dependent process, and for a stationary state. Some queueing applications are discussed.