Article ID: | iaor19951518 |
Country: | Japan |
Volume: | 36 |
Issue: | 2 |
Start Page Number: | 65 |
End Page Number: | 72 |
Publication Date: | Jun 1993 |
Journal: | Journal of the Operations Research Society of Japan |
Authors: | Machihara Fumiaki |
Keywords: | markov processes, queues: theory, statistics: regression |
The paper considers the covariance structure of an interrupted Markov modulated Poisson process. In this process, periods of on-time and off-time alternate; the on-time interval has a phase-type distribution and the off-time interval has a general one. The off-time period represents the time during which no customer arrives. The on-time period on the other hand, represents the time during which customers do arrive. Here, the arrival rate depends on the phase condition of the on-time interval distribution. The Laplace-Stieltjes transform is derived for the inter-arrival time distribution. Using the results, the correlation structures of succeeding inter-arrival times are studied. When the on-time length distribution is hyperexponential, the covariance of succeeding inter-arrival lengths is positive, whereas it becomes negative for Erlangian on-time lengths.