| 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 | 110 | 2001 |
| 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 | 107 | 2009 |
| General conditions for bounded relative error in simulations of highly reliable Markovian systems MK Nakayama Advances in Applied Probability 28 (3), 687-727, 1996 | 78 | 1996 |
| Efficient Monte Carlo methods for estimating failure probabilities A Alban, HA Darji, A Imamura, MK Nakayama Reliability Engineering & System Safety 165, 376-394, 2017 | 71 | 2017 |
| 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 | 69 | 1993 |
| A Markovian dependability model with cascading failures SM Iyer, MK Nakayama, AV Gerbessiotis IEEE Transactions on Computers 58 (9), 1238-1249, 2009 | 65 | 2009 |
| 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 | 62 | 2012 |
| Fast simulation of dependability models with general failure, repair and maintenance processes. VF Nicola, MK Nakayama, P Heidelberger, A Goyal FTCS, 491-498, 1990 | 60 | 1990 |
| 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 | 56 | 1999 |
| Multiple-comparison procedures for steady-state simulations MK Nakayama The Annals of Statistics 25 (6), 2433-2450, 1997 | 50 | 1997 |
| 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 | 50 | 1989 |
| 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 | 46 | 2014 |
| Likelihood ratio sensitivity analysis for Markovian models of highly dependable systems MK Nakayama, A Goyal, PW Glynn Operations Research 42 (1), 137-157, 1994 | 46 | 1994 |
| Statistical analysis of simulation output MK Nakayama Proceedings of the 40th Conference on Winter Simulation, 62-72, 2008 | 44 | 2008 |
| 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 | 44 | 1994 |
| Two-stage stopping procedures based on standardized time series MK Nakayama Management Science 40 (9), 1189-1206, 1994 | 42 | 1994 |
| 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 | 40 | 1994 |
| Output analysis for simulations MK Nakayama 2006 Winter Simulation Conference, 36-46, 2006 | 37 | 2006 |
| Asymptotics of likelihood ratio derivative estimators in simulations of highly reliable Markovian systems MK Nakayama Management Science 41 (3), 524-554, 1995 | 36 | 1995 |
| Selecting the best system in steady-state simulations using batch means MK Nakayama Proceedings of the 27th conference on Winter simulation, 362-366, 1995 | 32 | 1995 |
