A guide to simulation (2nd ed.)
A guide to simulation (2nd ed.)
New confidence interval estimators using standardized time series
Management Science
Properties of standardized time series weighted area variance estimators
Management Science
Simulation output analysis using standardized time series
Mathematics of Operations Research
An investigation of finite-sample behavior of confidence interval estimators
Operations Research
Strong consistency of the variance estimator in steady-state simulation output analysis
Mathematics of Operations Research
Optimal mean-squared-error batch sizes
Management Science
Selecting the best system in steady-state simulations using batch means
WSC '95 Proceedings of the 27th conference on Winter simulation
Large-sample results for batch means
Management Science
Computational experience with the batch means method
Proceedings of the 29th conference on Winter simulation
Selecting the best system: a decision-theoretic approach
Proceedings of the 29th conference on Winter simulation
New development of optimal computing budget allocation for discrete event simulation
Proceedings of the 29th conference on Winter simulation
Two-stage multiple-comparison procedures for steady-state simulations
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Multivariate simulation output analysis
WSC '91 Proceedings of the 23rd conference on Winter simulation
Multivariate inference in stationary simulation using batch means
WSC '87 Proceedings of the 19th conference on Winter simulation
On the relationship between batch means, overlapping means and spectral estimation
WSC '87 Proceedings of the 19th conference on Winter simulation
Simulating Stable Stochastic Systems, I: General Multiserver Queues
Journal of the ACM (JACM)
Simulating Stable Stochastic Systems, II: Markov Chains
Journal of the ACM (JACM)
Simulating Stable Stochastic Systems, VI: Quantile Estimation
Journal of the ACM (JACM)
Power comparisons for the multivariate batch-means method
WSC' 90 Proceedings of the 22nd conference on Winter simulation
An empirical evaluation of several methods to select the best system
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Discrete-event simulation
A fully sequential procedure for indifference-zone selection in simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Ranking and selection for steady-state simulation
Proceedings of the 32nd conference on Winter simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
New Two-Stage and Sequential Procedures for Selecting the Best Simulated System
Operations Research
Convergence Properties of the Batch Means Method for Simulation Output Analysis
INFORMS Journal on Computing
Properties of Batched Quadratic-Form Variance Parameter Estimators for Simulations
INFORMS Journal on Computing
Ranking and Selection for Steady-State Simulation: Procedures and Perspectives
INFORMS Journal on Computing
Interactive analysis of simulation output by the method of batch means
WSC '79 Proceedings of the 11th conference on Winter simulation - Volume 2
Overlapping batch means: something for nothing?
WSC '84 Proceedings of the 16th conference on Winter simulation
Using Ranking and Selection to "Clean Up" after Simulation Optimization
Operations Research
Output analysis: ASAP2: an improved batch means procedure for simulation output analysis
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
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This paper reviews statistical methods for analyzing output data from computer simulations. First, it focuses on the estimation of steady-state system parameters. The estimation techniques include the replication/deletion approach, the regenerative method, the batch means method, and the standardized time series method. Second, it reviews recent statistical procedures to find the best system among a set of competing alternatives.