• Publications
  • Influence
Principles of Discrete Event Simulation
  • 524
  • 36
A Comparison of Four Monte Carlo Methods for Estimating the Probability of s-t Connectedness
  • G. S. Fishman
  • Computer Science
  • IEEE Transactions on Reliability
  • 1 June 1986
TLDR
This paper describes and compares the performance of four alternative Monte Carlo sampling plans for estimating the probability that two nodes, s and t, are connected in an undirected network whose arcs fail randomly and independently. Expand
  • 142
  • 17
Discrete-Event Simulation : Modeling, Programming, and Analysis
TLDR
Preface.- Simulation in Perspective.- Modeling Concepts Data Collection and Averages. Expand
  • 333
  • 15
Grouping Observations in Digital Simulation
This paper presents a method for deriving a confidence interval for a population mean from the output of a simulation run. The method groups the observations on a run into batches and uses theseExpand
  • 183
  • 15
An Implementation of the Batch Means Method
TLDR
This article introduces the LBATCH and ABATCH rules for applying the batch means method to analyze output of Monte Carlo and, in particular, discrete-event simulation experiments. Expand
  • 110
  • 14
A Monte Carlo Sampling Plan for Estimating Network Reliability
TLDR
We present a general class of Monte Carlo sampling plans for estimating g = gs, T, the probability that a specified node s is connected to all nodes in a node set T in an undirected network whose arcs are subject to random failure. Expand
  • 156
  • 13
Concepts and Methods in Discrete Event Digital Simulation
  • 415
  • 11
Discrete-event simulation
TLDR
This book describes the fundamentals of discrete-event simulation from the perspective of highly interactive PC and workstation environments. Expand
  • 333
  • 10
Bias Considerations in Simulation Experiments
  • G. S. Fishman
  • Mathematics, Computer Science
  • Oper. Res.
  • 1 August 1972
TLDR
A first-order autoregressive scheme to investigate the effects of initial conditions in a simulation on the estimation of the population mean of a process of interest. Expand
  • 72
  • 8
Spectral Methods in Econometrics.
  • 108
  • 8
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