A guide to simulation (2nd ed.)
A guide to simulation (2nd ed.)
Importance sampling for stochastic simulations
Management Science
Likelihood ratio gradient estimation for stochastic systems
Communications of the ACM - Special issue on simulation
Two-stage stopping procedures based on standardized time series
Management Science
Fast simulation of rare events in queueing and reliability models
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Discrete-event simulation
Simulation
Simulation optimization: a review, new developments, and applications
WSC '05 Proceedings of the 37th conference on Winter simulation
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Output analysis for simulations
Proceedings of the 38th conference on Winter simulation
Statistical analysis of simulation output data: the practical state of the art
Proceedings of the Winter Simulation Conference
A Multi-Objective Evolutionary Algorithm for enhancing Bayesian Networks hybrid-based modeling
Computers & Mathematics with Applications
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We discuss methods for statistically analyzing the output from stochastic discrete-event or Monte Carlo simulations. Terminating and steady-state simulations are considered.