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[2] C Alexopoulos and S-H Kim Output data analysis for simulations In E Y cesan, u C-H Chen, JL Snowdon, and JM Charnes, eds, Proceedings of the 2002 Winter Simulation Conference, pp 85 96 IEEE Press, 2002 [3] C Alexopoulos and BC Shultes Estimating reliability measures for highly-dependable Markov systems, using balanced likelihoos ratios IEEE Transactions on Reliability, 50(3): 265 280, 2001 [4] S Asmussen and R Rubinstein Sensitivity analysis of insurance risk models via simulation Management Science, 45: 1125 1141, 1999 [5] H Cancela, G Rubino, and B Tuf n MTTF estimation by Monte Carlo methods using Markov models Monte Carlo Methods and Applications, 8(4): 312 341, 2002 [6] H Cancela, G Rubino, and M Urquhart Path set based conditioning for transient simulation of highly dependable networks In Proceedings of the 7th IFAC Symposium on Cost Oriented Automation, 2004 [7] JA Carrasco Failure distance based on simulation of repairable fault tolerant systems Proceedings of the 5th International Conference on Modeling Techniques and Tools for Computer Performance Evaluation, pp 351 65, 1992 [8] PT De Boer, P L Ecuyer, G Rubino, and B Tuf n Estimating the probability of a rare event over a nite horizon In Proceedings of the 2007 Winter Simulation Conference IEEE Press, 2007 [9] V Demers, P L Ecuyer, and B Tuf n A combination of randomized quasi-Monte Carlo with splitting for rare-event simulation In Proceedings of the 2005 European Simulation and Modeling Conference, pp 25 32, Ghent, Belgium, 2005 EUROSIS [10] A Goyal, P Heidelberger, and Shahabuddin P Measure speci c dynamic importance sampling for availability simulations In Proceedings of the 1987 Winter Simulation Conference, pp 351 357, 1987 [11] A Goyal, P Shahabuddin, P Heidelberger, VF Nicola, and PW Glynn A uni ed framework for simulating Markovian models of highly reliable systems IEEE Transactions on Computers, C-41: 36 51, 1992 [12] P Heidelberger Fast simulation of rare events in queueing and reliability models In L Donatiello and R Nelson, eds, Performance Evaluation of Computer and Communication Systems, Lecture Notes in Computer Science 729, pp 165 202 Springer, New York, 1993 [13] P Heidelberger Fast simulation of rare events in queueing and reliability models ACM Transactions on Modeling and Computer Simulation, 5(1): 43 85, 1995 [14] P Heidelberger, VF Nicola, and P Shahabuddin Simultaneous and ef cient simulation of highly dependable systems with different underlying distributions In Proceedings of the 1992 Winter Simulation Conference, pp 458 465 IEEE Press, 1992 [15] P Heidelberger, P Shahabuddin, and VF Nicola Bounded relative error in estimating transient measures of highly dependable non-Markovian systems ACM Transactions on Modeling and Computer Simulation, 4(2): 137 164, 1994 [16] DL Iglehart and R Schassberger Discrete time methods for simulating continuous time Markov chains Advances in Applied Probability, 8: 772 788, 1976.

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