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Reports (Research Report) Year : 1996

Bounded Normal Approximation in Highly Reliable Markovian Systems

Bruno Tuffin
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Abstract

In this paper, we give a necessary and sufficient condition to perform a good normal approximation for the Monte Carlo evaluation of highly reliable Markovian systems. We have recourse to simulation because of the frequent huge state space in practical systems. Literature has focused on the property of bounded relative error. In the same way, we can focus on bounded normal approximation. We see that the set of systems with bounded normal approximation is (strictly) included in the set of systems with bounded relative error.
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Dates and versions

inria-00073674 , version 1 (24-05-2006)

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  • HAL Id : inria-00073674 , version 1

Cite

Bruno Tuffin. Bounded Normal Approximation in Highly Reliable Markovian Systems. [Research Report] RR-3020, INRIA. 1996. ⟨inria-00073674⟩
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