Hypothesis testing for a Lévy-driven storage system by Poisson sampling

This paper focuses on hypothesis testing for the input of a Lévy-driven storage system by sampling level. As likelihood is not explicit we propose two tests that rely transformation data. The first approach uses i.i.d. ‘quasi-busy-periods’ between observations zero workload. distribution duration quasi-busy-periods determined. second method conditional ratio test based Bernoulli events observing or positive workload, previous Performance analysis presented both along with speed-of-convergence results, are independent interest.