Article ID: | iaor20133935 |
Volume: | 206 |
Issue: | 1 |
Start Page Number: | 485 |
End Page Number: | 500 |
Publication Date: | Jul 2013 |
Journal: | Annals of Operations Research |
Authors: | Tortorella Michael |
Keywords: | probability, statistics: distributions, stochastic processes |
Stochastic models for phenomena that can exhibit sudden changes involve the use of processes whose sample functions may have discontinuities. This paper provides some tools for working with such processes. We develop a sample path formula for the cumulative jump height over a given time interval. From this formula an expression for the expected value of the cumulative jump random variable is developed under reasonable conditions. The results are applied to finding the expected number of failures in the separate maintenance model over a stated time interval and to the expected number of occurrences of a regenerative event over a stated time interval.