We consider a batch arrival MX∕G∕1 queue with impatient customers. The loss probability is expressed in terms of the stationary waiting time distribution for the standard MX∕G∕1 queue with no impatience. But this expression is only applicable when the offered load ρ is less than 1. We give a formula for the loss probability applicable for any values of ρ>0, by proving that the loss probability is analytic in ρ on (0,∞) through a Girsanov-type change of measure.
- Girsanov-type change of measure
- Impatient customers
- Loss probability
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty