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Averill Law
Averill Law
President, Averill M. Law & Associates
Dirección de correo verificada de simulation.ws - Página principal
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Simulation modeling and analysis
AM Law, WD Kelton, WD Kelton
Mcgraw-hill, 2007
248932007
The Art and Theory of Dynamic Programming.
SE Dreyfus, LAW AM
9671977
How to build valid and credible simulation models
AM Law
2022 Winter Simulation Conference (WSC), 1283-1295, 2022
9182022
Simulation of manufacturing systems
AM Law, MG McComas
Proceedings of the 19th conference on Winter simulation, 631-643, 1987
351*1987
A sequential procedure for determining the length of a steady-state simulation
AM Law, JS Carson
Operations Research 27 (5), 1011-1025, 1979
3251979
Secrets of successful simulation studies
AM Law, MG McComas
Institute of Electrical and Electronics Engineers (IEEE), 1991
2361991
Statistical analysis of simulation output data
AM Law
Operations research 31 (6), 983-1029, 1983
2341983
Simulation-based optimization
AM Law, MG McComas
Proceedings of the Winter Simulation Conference 1, 41-44, 2002
2122002
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
1931985
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
1622003
Simulation software for communications networks: The state of the art
AM Law, MG McComas
IEEE Communications Magazine 32 (3), 44-50, 1994
1531994
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
1521984
Confidence intervals for steady-state simulations II: A survey of sequential procedures
AM Law, WD Kelton
Management Science 28 (5), 550-562, 1982
1431982
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
1411983
Confidence intervals in discrete event simulation: a comparison of replication and batch means
AM Law
Naval Research Logistics Quarterly 24 (4), 667-678, 1977
1381977
Statistical analysis of simulation output data: the practical state of the art
AM Law
2020 winter simulation conference (WSC), 1117-1127, 2020
1332020
Selecting simulation software for manufacturing applications: practical guidelines & software survey
AM Law, SW Haider
Industrial Engineering 21 (5), 33-46, 1989
1271989
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
1181985
Simulation-models level of detail determines effectiveness
AM Law
Industrial engineering 23 (10), 16-&, 1991
1081991
An analytical evaluation of alternative strategies in steady-state simulation
WD Kelton, AM Law
Operations Research 32 (1), 169-184, 1984
88*1984
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