All Stories

  1. Methodological Expectations for Studies Using Computer Simulation
  2. Changing the paradigm: Simulation, now a method of first resort
  3. Estimating the proportion of tuberculosis recent transmission via simulation
  4. Density estimation from correlated data
  5. Timing of Tuberculosis Transmission and the Impact of Household Contact Tracing. An Agent-based Simulation Model
  6. An agent-based simulation of a Tuberculosis epidemic: Understanding the timing of transmission
  7. Improving Voting Systems through Service-Operations Management
  8. The call for equity: simulation optimization models to minimize the range of waiting times
  9. Resource allocation for controlling epidemics: Calibrating, analyzing, and optimizing an agent-based simulation
  10. Simulation optimization for allocation of epidemic-control resources
  11. Optimization model selection for simulation-based approximate dynamic programming approaches in semiconductor manufacturing operations
  12. Toward optimal resource-allocation for control of epidemics: An agent-based-simulation approach
  13. Representing and generating uncertainty effectively
  14. Are all voting queues created equal?
  15. Confidence interval estimation using quasi-independent sequences
  16. Estimating steady-state distributions via simulation-generated histograms
  17. Representing and generating uncertainty effectively
  18. A Procedure for Generating Batch-Means Confidence Intervals for Simulation: Checking Independence and Normality
  19. Empirical Evaluation of Data-Based Density Estimation
  20. Quantile and tolerance-interval estimation in simulation
  21. Chapter 7 Implementing Representations of Uncertainty
  22. An Object-Oriented Random-Number Package with Many Long Streams and Substreams
  23. Efficient distributed simulation through dynamic load balancing
  24. Designing simulation experiments
  25. Simulation-based estimation of quantiles
  26. A Review of: “Simulation Games and Learning in Production Management”, Edited by Jens O. Riis Chapman and Hall, London, 1995
  27. Statistical analysis of simulation output
  28. Statistical issues in simulation
  29. A tutorial on design and analysis of simulation experiments
  30. Simulation Modeling and Analysis
  31. Perspectives on Simulation Research and Practice
  32. Closure–state specification for markov–process models with incomplete micro data
  33. Multivariate Autoregressive Techniques for Constructing Confidence Regions on the Mean Vector
  34. Weighted Batch Means for Confidence Intervals in Steady-State Simulations
  35. Measuring Congestion for Dynamic Task Allocation in Distributed Simulation
  36. Evaluation of probation/parole scheduling via simulation
  37. Distribution selection and validation
  38. A comparison of micro versus macro point estimators for markov-process models
  39. Principles of Random Variate Generation (John Dagpunar)
  40. Adjustment rules based on quality control charts†
  41. Random Initialization Methods in Simulation
  42. Designing computer simulation experiments
  43. A comparison of confidence region estimators for multivariate simulation output
  44. Initializing for bias reduction
  45. The transient behavior of the M/Ek/2 queue and steady-state simulation
  46. Comparison of hypothesis testing techniques for markov processes estimated from micro versus macro data
  47. Elements of Simulation (Byron J. T. Morgan)
  48. Replication splitting and variance for simulating discrete-parameter stochastic processes
  49. Statistical design and analysis
  50. Development of Specific hypothesis tests for estimated markov chains
  51. Transient exponential-Erlang queues and steady-state simulation
  52. The Transient Behavior of theM/M/sQueue, with Implications for Steady-State Simulation
  53. Analysis of simulation of output data
  54. Hypothesis Tests for Markov Process Models Estimated from Aggregate Frequency Data
  55. Hypothesis Tests for Markov Proces Models Estimated from Aggregate Frequency Data
  56. Confidence Intervals for Steady-State Simulations: I. A Survey of Fixed Sample Size Procedures
  57. An Analytical Evaluation of Alternative Strategies in Steady-State Simulation
  58. MARKOV PROCESS MODELS: A GENERAL FRAMEWORK FOR ESTIMATION AND INFERENCE IN THE ABSENCE OF STATE TRANSITION DATA
  59. A new approach for dealing with the startup problem in discrete event simulation
  60. Simulation Modeling and Analysis.
  61. Confidence Intervals for Steady-State Simulations II: A Survey of Sequential Procedures
  62. Advertising and Intraindustry Brand Shift in the U.S. Brewing Industry
  63. Relative width sequential confidence intervals for the mean
  64. Designing computer simulation experiments
  65. Analysis of output data
  66. Experimental design for simulation
  67. A tutorial on design and analysis of simulation experiments
  68. Quantile and histogram estimation
  69. Mean estimation based on phi-mixing sequences
  70. Some modest proposals for simulation software: design and analysis of experiments
  71. Some modest proposals for simulation software: design and analysis of experiments
  72. A comparison of confidence region estimators for multivariate simulation output
  73. Initializing For Bias Reduction: Some Analytical Considerations
  74. Adaptive Distribution Of Model Components Via Congestion Measures
  75. An enhanced two-stage selection procedure