Tutorial

DOI10.1080/00949658408810735zbMath0568.65099OpenAlexW2313730318MaRDI QIDQ3685152

Linda Weiser Friedman, Hershey H. Friedman

Publication date: 1984

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949658408810735

zbMATH Keywords

computer simulationsimulation modelsvariance reduction techniquesestimation from simulation dataexperimental design in simulation

Mathematics Subject Classification ID

Related Items (4)

Integrated inventory pooling for firms servicing both on-line and store demand ⋮ A comparison of parametric and nonparametric tests for detecting queue waiting time differences ⋮ A fuzzy theoretic approach to simulation metamodeling ⋮ Metamodels in manufacturing: a review

Uses Software

• DYNAMO

Cites Work

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• Multivariate estimation in regenerative simulation
• Generalization of simulation results. Practicality of statistical methods
• Simulation. Statistical foundations and methodology
• Achieving a Confidence Interval for Parameters Estimated by Simulation
• Note—A Note on “Efficiency of the Antithetic Variate Method for Simulating Stochastic Networks”
• A Sequential Procedure for Determining the Length of a Steady-State Simulation
• Statistical analysis of the output data from terminating simulations
• Conservation Equations and Variance Reduction in Queueing Simulations
• Variance Reduction Techniques for the Simulation of Markov Processes, I: Multiple Estimates
• A Coverage Function for Interval Estimators of Simulation Response
• A Perspective on the Use of Control Variables to Increase the Efficiency of Monte Carlo Simulations
• Detecting Initialization Bias in Simulation Output
• Batch Size Effects in the Analysis of Simulation Output
• A Batching Approach to Quantile Estimation in Regenerative Simulations
• Efficiency of the Antithetic Variate Method for Simulating Stochastic Networks
• A Renewal Theoretic Approach to Bias Reduction in Regenerative Simulations
• Confidence Intervals for Steady-State Simulations II: A Survey of Sequential Procedures
• Blockinq in simular experimental designs
• A simple sequential procedure for sampling termination in simulation investigations
• Correlated simulation experiments
• The construction and implementation of metamodels
• Regenerative Simulation of a Queuing Model of an Automated Tape Library
• Bayesian discrimination: a method for choosing among competing digital simulation models
• Second-order response surface designs in computer simulation
• A new variance reduction technique for evaluating system reliability problems by simulation
• Simulating stable stochastic systems, V: Comparison of ratio estimators
• A Simulation Study of Operating Policies in a Hypothetical Dual-Constrained Job Shop
• Technical Note—Optimal Initial Conditions for a Simulation Problem
• Simulating Stable Stochastic Systems, VI: Quantile Estimation
• Toward guidelines for designing experiments in queuing simulation
• Design and analysis of simulations: practical statistical techniques
• Virtual Measures: A Variance Reduction Technique for Simulation
• Achieving specific accuracy in simulation output analysis
• Multiple response surface methods in computer simulation
• Sequential Stopping Rules for the Regenerative Method of Simulation
• Using Simulation to Develop and Validate Analytic Models: Some Case Studies
• Evaluation of startup policies in simulation experiments
• Simulation of Response Times in Finite-Capacity Open Networks of Queues
• Evaluation of commonly used rules for detecting “steady state” in computer simulation
• Statistical aspects of simulation: an updated survey*
• Simulating Stable Stochastic Systems, I: General Multiserver Queues
• Simulating Stable Stochastic Systems, II: Markov Chains
• Estimation in Multiserver Queuing Simulations
• Estimating Sample Size in Computing Simulation Experiments
• Bias Considerations in Simulation Experiments
• Variance reduction in simulation studies

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