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Simulating Stable Stochastic Systems, II: Markov Chains
4 references·11 citing·41 second hop
Simulating Stable Stochastic Systems, II: Markov Chains (1974)Simulating Stable Stochastic Systems, II:…Simulating Stable Stochastic Systems, I: General Multiserver Queues (1974)Simulating Stable Stochastic …Principles of Operations Research. (1970)Principles of Operations Rese…Principles of Operations Research. (1970)Principles of Operations Rese…The Analysis of Simulation-Generated Time Series (1967)The Analysis of Simulation-Ge…A brief history of simulation revisited (2010)A brief history of simulation…Likelihood Ratio Sensitivity Analysis for Markovian Models of Highly Dependable Systems (1994)Likelihood Ratio Sensitivity …The score function approach for sensitivity analysis of computer simulation models (1986)The score function approach f…Confidence Intervals for Steady-State Simulations: I. A Survey of Fixed Sample Size Procedures (1984)Confidence Intervals for Stea…Feature Article—Statistical Analysis of Simulation Output Data (1983)Feature Article—Statistical A…Confidence Intervals for Steady-State Simulations II: A Survey of Sequential Procedures (1982)Confidence Intervals for Stea…Statistical analysis of simulation output data (1977)Statistical analysis of simul…Sequential Stopping Rules for the Regenerative Method of Simulation (1977)Sequential Stopping Rules for…Confidence intervals in discrete event simulation: A comparison of replication and batch means (1977)Confidence intervals in discr…Simulating Stable Stochastic Systems, VI: Quantile Estimation (1976)Simulating Stable Stochastic …Simulating stable stochastic systems, V: Comparison of ratio estimators (1975)Simulating stable stochastic …Concepts and Methods in Discrete Event Digital Simulation. (1975)Statistical Techniques in Simulation (1976)A spectral method for confidence interval generation and run length control in simulations (1981)Software for uniform random number generation: distinguishing the good and the bad (2001)The Biological Standardization of Insulin (1941)On the theory of queues with many servers (1955)The stability of a queue with non-independent inter-arrival and service times (1962)Discrete time methods for simulating continuous time Markov chains (1976)Extensions of infinitesimal perturbation analysis (1988)Fundamentals of Queueing Theory. (1977)Simulation Modeling and Analysis. (1983)Fundamentals of Queueing Theory. (1986)Sensitivity analysis and the “what if” problem in simulation analysis (1989)Optimization of static simulation models by the score function method (1990)Robust Analysis in Stochastic Simulation: Computation and Performance Guarantees (2019)Simulating Stable Stochastic Systems: III. Regenerative Processes and Discrete-Event Simulations (1975)Probabilistic Sensitivity Analysis in Cost-Effectiveness Models: Determining Model Convergence in Cohort Models (2018)Principles of Discrete Event Simulation. (1980)Batch Size Effects in the Analysis of Simulation Output (1982)Random Initialization Methods in Simulation (1989)An Investigation of Finite-Sample Behavior of Confidence Interval Estimators (1992)Automated selection of the number of replications for a discrete-event simulation (2009)The Summation of Random Causes as the Source of Cyclic Processes (1937)Some Problems in the Theory of Queues (1951)Introduction to the Theory of Queues. (1963)Statistical Analysis of Simulation Output Data (1980)How to assess the acceptability and credibility of simulation results (1989)An Implementation of the Batch Means Method (1997)A new approach for dealing with the startup problem in discrete event simulation (1983)Fundamentals of Queueing Theory. (1987)Statistics for Experimenters (1979)Validation of Simulation Models via Simultaneous Confidence Intervals (1984)Metamodels in manufacturing: a review (1994)Automating warm-up length estimation (2009)Simulation and the Monte Carlo Method (2016)Global Sensitivity Analysis (1995)The evolution of the intellectual structure of operations management—1980–2006: A citation/co‐citation analysis (2008)Soft Systems Methodology (2010)Concepts for advanced simulation methodologies (1979)Distributed decision making––a unified approach (2003)A robust optimization model for multi-site production planning problem in an uncertain environment (2006)
this work references cited by second hop

References

  • 1970Principles of Operations Research.876 cited
  • 1970Principles of Operations Research.347 cited
  • 1967The Analysis of Simulation-Generated Time Series135 cited
  • 1974Simulating Stable Stochastic Systems, I: General Multiserver Queues121 cited

Cited by

  • 1977Confidence intervals in discrete event simulation: A comparison of replication and batch means97 cited
  • 1982Confidence Intervals for Steady-State Simulations II: A Survey of Sequential Procedures96 cited
  • 1986The score function approach for sensitivity analysis of computer simulation models95 cited
  • 1983Feature Article—Statistical Analysis of Simulation Output Data93 cited
  • 1975Simulating stable stochastic systems, V: Comparison of ratio estimators91 cited
  • 1984Confidence Intervals for Steady-State Simulations: I. A Survey of Fixed Sample Size Procedures86 cited
  • 1976Simulating Stable Stochastic Systems, VI: Quantile Estimation82 cited
  • 1977Sequential Stopping Rules for the Regenerative Method of Simulation66 cited
  • 2010A brief history of simulation revisited60 cited
  • 1977Statistical analysis of simulation output data57 cited
  • 1994Likelihood Ratio Sensitivity Analysis for Markovian Models of Highly Dependable Systems

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41 cited