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Marvin Nakayama
Marvin Nakayama
Professor of Computer Science, New Jersey Institute of Technology
Verified email at njit.edu - Homepage
Title
Cited by
Cited by
Year
Techniques for fast simulation of models of highly dependable systems
VF Nicola, P Shahabuddin, MK Nakayama
IEEE Transactions on Reliability 50 (3), 246-264, 2001
1102001
Vulnerability assessment for cascading failures in electric power systems
R Baldick, B Chowdhury, I Dobson, Z Dong, B Gou, D Hawkins, Z Huang, ...
2009 IEEE/PES Power Systems Conference and Exposition, 1-9, 2009
1072009
General conditions for bounded relative error in simulations of highly reliable Markovian systems
MK Nakayama
Advances in Applied Probability 28 (3), 687-727, 1996
781996
Efficient Monte Carlo methods for estimating failure probabilities
A Alban, HA Darji, A Imamura, MK Nakayama
Reliability Engineering & System Safety 165, 376-394, 2017
732017
Fast simulation of highly dependable systems with general failure and repair processes
VF Nicola, MK Nakayama, P Heidelberger, A Goyal
IEEE Transactions on Computers 42 (12), 1440-1452, 1993
701993
A Markovian dependability model with cascading failures
SM Iyer, MK Nakayama, AV Gerbessiotis
IEEE Transactions on Computers 58 (9), 1238-1249, 2009
652009
Confidence intervals for quantiles when applying variance-reduction techniques
F Chu, MK Nakayama
ACM Transactions on Modeling and Computer Simulation (TOMACS) 22 (2), 1-25, 2012
632012
Fast simulation of dependability models with general failure, repair and maintenance processes.
VF Nicola, MK Nakayama, P Heidelberger, A Goyal
FTCS, 491-498, 1990
611990
Two-stage multiple-comparison procedures for steady-state simulations
H Damerdji, MK Nakayama
ACM Transactions on Modeling and Computer Simulation (TOMACS) 9 (1), 1-30, 1999
561999
Multiple-comparison procedures for steady-state simulations
MK Nakayama
The Annals of Statistics 25 (6), 2433-2450, 1997
501997
Decomposition techniques for multi-area generation and transmission planning under uncertainty
GB Dantzig, PW Glynn, M Avriel, JC Stone, R Entriken, M Nakayama
Electric Power Research Inst., Palo Alto, CA (USA); Stanford Univ., CA (USA …, 1989
501989
Confidence intervals for quantiles using sectioning when applying variance-reduction techniques
MK Nakayama
ACM Transactions on Modeling and Computer Simulation (TOMACS) 24 (4), 1-21, 2014
482014
Statistical analysis of simulation output
MK Nakayama
Proceedings of the 40th Conference on Winter Simulation, 62-72, 2008
462008
Likelihood ratio sensitivity analysis for Markovian models of highly dependable systems
MK Nakayama, A Goyal, PW Glynn
Operations Research 42 (1), 137-157, 1994
461994
A characterization of the simple failure-biasing method for simulations of highly reliable Markovian systems
MK Nakayama
ACM Transactions on Modeling and Computer Simulation (TOMACS) 4 (1), 52-88, 1994
441994
Two-stage stopping procedures based on standardized time series
MK Nakayama
Management Science 40 (9), 1189-1206, 1994
421994
Modeling and analysis of system dependability using the system availability estimator
AM Blum, A Goyal, P Heidelberger, SS Lavenberg, MK Nakayama, ...
Proceedings of IEEE 24th International Symposium on Fault-Tolerant Computing …, 1994
401994
Output analysis for simulations
MK Nakayama
2006 Winter Simulation Conference, 36-46, 2006
372006
Asymptotics of likelihood ratio derivative estimators in simulations of highly reliable Markovian systems
MK Nakayama
Management Science 41 (3), 524-554, 1995
371995
Selecting the best system in steady-state simulations using batch means
MK Nakayama
Proceedings of the 27th conference on Winter simulation, 362-366, 1995
321995
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