Averill Law
Averill Law
President, Averill M. Law & Associates
Verified email at simulation.ws - Homepage
Title
Cited by
Cited by
Year
Simulation modeling and analysis
AM Law, WD Kelton, WD Kelton
McGraw-Hill, 2000
223272000
The Art and Theory of Dynamic Programming.
SE Dreyfus, D SE, LAW AM
8751977
How to build valid and credible simulation models
AM Law
2019 Winter Simulation Conference (WSC), 1402-1414, 2019
7642019
Simulation of manufacturing systems
AM Law, MG McComas
Proceedings of the 19th conference on Winter simulation, 631-643, 1987
307*1987
A sequential procedure for determining the length of a steady-state simulation
AM Law, JS Carson
Operations Research 27 (5), 1011-1025, 1979
3031979
Statistical analysis of simulation output data
AM Law
Operations research 31 (6), 983-1029, 1983
2141983
Secrets of successful simulation studies
AM Law, MG McComas
Institute of Electrical and Electronics Engineers (IEEE), 1991
2021991
Simulation-based optimization
AM Law, MG McComas
Proceedings of the Winter Simulation Conference 1, 41-44, 2002
1952002
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
1741985
Simulation software for communications networks: The state of the art
AM Law, MG McComas
IEEE Communications Magazine 32 (3), 44-50, 1994
1551994
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
1401984
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
1381983
How to conduct a successful simulation study
S Chick, PJ Sánchez, D Ferrin, DJ Morrice
Proceedings of the 2003 winter simulation conference 2003, 66-70, 2003
1332003
Confidence intervals for steady-state simulations II: A survey of sequential procedures
AM Law, WD Kelton
Management Science 28 (5), 550-562, 1982
1321982
Confidence intervals in discrete event simulation: a comparison of replication and batch means
AM Law
Naval Research Logistics Quarterly 24 (4), 667-678, 1977
1281977
Selecting simulation software for manufacturing applications: practical guidelines & software survey
AM Law, SW Haider
Industrial Engineering 21 (5), 33-46, 1989
1271989
Statistical analysis of simulation output data: the practical state of the art
AM Law
2020 Winter Simulation Conference (WSC), 1117-1127, 2020
1132020
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
1081985
Simulation-models level of detail determines effectiveness
AM Law
Industrial engineering 23 (10), 16-&, 1991
901991
Pitfalls to avoid in the simulation of manufacturing systems
AM Law, MG McComas
Industrial Engineering 21 (5), 28-31, 1989
801989
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