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Estimation of reliability and its derivatives for large time horizons in Markovian systems
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Source Winter Simulation Conference archive
Proceedings of the 25th conference on Winter simulation table of contents
Los Angeles, California, United States
Pages: 422 - 429  
Year of Publication: 1993
ISBN:0-7803-1381-X
Authors
Perwez Shahabuddin  IBM T.J. Watson Research Center, P.O. Box 704, Yorktown Heights, New York
Marvin K. Nakayama  IBM T.J. Watson Research Center, P.O. Box 704, Yorktown Heights, New York
Sponsors
IEEE-CS : Computer Society
IEEE-SMCS : Systems, Man & Cybernetics Society
ACM: Association for Computing Machinery
ORSA : Operations Research Society of America
SIGSIM: ACM Special Interest Group on Simulation and Modeling
IIE : Institute of Industrial Engineers
SCS : Society for Computer Simulation
ASA : American Statistical Association
NIST : National Institue of Standards & Technology
TIMS/CSG :
Publisher
ACM  New York, NY, USA
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Brown, M. 1990. Error bounds for exponential approximations of geometric convolutions. The Annals of Probability 18:1388-1402.
 
2
Carrasco~ J. A. 1991. Et~clent ~ran~icn~ simulation of failure/repair Markovian models. In Proceedings of She Tenth Symposium on Reliable Distributed Systems, IEEE Press, 152-161.
 
3
Glynn, P. 1992. Importance sampling for Markov chains: asymptotics for the variance. Technical Report, Department of Operations Research, Stanford University, California.
 
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Lewis, E. E. and F. Bohm. 1984. Monte Carlo simulation of Markov unreliability models. Nuclear Engineering and Design 77:49-62.
 
8
Nakayama, M. K. 1991. Asymptotics for likelihood ratio derivative estimators in simulations of highly reliable Markovian systems. Research Report RC 17357, IBM T. J. Watson Research Center, Yorktown Heights, New York. Submitted for publication.
 
9
Nicola, V. F., P. Heidelberger, and P. Shahabuddin. 1992. Uniformization and exponential transformation: Techniques for fast simulation of highly dependable non-Markovian systems. In Proceedings of the Twenty-Second Annual International Symposium on Fault Tolerant Computing, IEEE Computer Society Press, 130-139.
 
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Shahabuddin, P., and M. K. Nakayama. 1993. Fast simulation of transient measures and their derivatives in highly reliable Markovian systems. In preparation.

Collaborative Colleagues:
Perwez Shahabuddin: colleagues
Marvin K. Nakayama: colleagues

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