Simulation modeling and analysis AM Law, WD Kelton, WD Kelton Mcgraw-hill, 2007 | 25093 | 2007 |
The Art and Theory of Dynamic Programming. SE Dreyfus, LAW AM | 966 | 1977 |
How to build valid and credible simulation models AM Law 2022 Winter Simulation Conference (WSC), 1283-1295, 2022 | 946 | 2022 |
Simulation of manufacturing systems AM Law, MG McComas Proceedings of the 19th conference on Winter simulation, 631-643, 1987 | 352* | 1987 |
A sequential procedure for determining the length of a steady-state simulation AM Law, JS Carson Operations Research 27 (5), 1011-1025, 1979 | 327 | 1979 |
Secrets of successful simulation studies AM Law, MG McComas Institute of Electrical and Electronics Engineers (IEEE), 1991 | 241 | 1991 |
Statistical analysis of simulation output data AM Law Operations research 31 (6), 983-1029, 1983 | 235 | 1983 |
Simulation-based optimization AM Law, MG McComas Proceedings of the Winter Simulation Conference 1, 41-44, 2002 | 213 | 2002 |
A procedure for selecting a subset of size m containing the l best of k independent normal populations, with applications to simulation LW Koenig, AM Law Communications in Statistics-Simulation and Computation 14 (3), 719-734, 1985 | 193 | 1985 |
How to conduct a successful simulation study S Chick, P Sánchez, D Ferrin, D Morrice Proceedings of the 2003 winter simulation conference 2003, 66-70, 2003 | 169 | 2003 |
Simulation software for communications networks: The state of the art AM Law, MG McComas IEEE Communications Magazine 32 (3), 44-50, 1994 | 153 | 1994 |
Confidence intervals for steady-state simulations: I. A survey of fixed sample size procedures AM Law, WD Kelton Operations Research 32 (6), 1221-1239, 1984 | 150 | 1984 |
A new approach for dealing with the startup problem in discrete event simulation WD Kelton, AM Law Naval Research Logistics Quarterly 30 (4), 641-658, 1983 | 142 | 1983 |
Confidence intervals for steady-state simulations II: A survey of sequential procedures AM Law, WD Kelton Management Science 28 (5), 550-562, 1982 | 142 | 1982 |
Statistical analysis of simulation output data: the practical state of the art AM Law 2020 winter simulation conference (WSC), 1117-1127, 2020 | 137 | 2020 |
Confidence intervals in discrete event simulation: a comparison of replication and batch means AM Law Naval Research Logistics Quarterly 24 (4), 667-678, 1977 | 134 | 1977 |
Selecting simulation software for manufacturing applications: practical guidelines & software survey AM Law, SW Haider Industrial Engineering 21 (5), 33-46, 1989 | 129 | 1989 |
The transient behavior of the M/M/s queue, with implications for steady-state simulation WD Kelton, AM Law Operations Research 33 (2), 378-396, 1985 | 121 | 1985 |
Simulation-models level of detail determines effectiveness AM Law Industrial engineering 23 (10), 16-&, 1991 | 111 | 1991 |
Kelton WDSimulation modeling and analysis AM Law McGraw-Hill, New York, New York, USA, 1982 | 102 | 1982 |