Variance and Covariance Estimation in Stationary Monte Carlo Device Simulation

  • H. Kosina
  • M. Nedjalkov
  • S. Selberherr


This work deals with the Monte Carlo method for stationary device simulation, known as the Single-Particle Monte Carlo method. A thorough mathematical analysis of this method clearly identifies the independent, identically distributed random variables of the simulated process. Knowledge of these random variables allows usage of straight-forward estimates of the stochastic error. The presented method of error estimation is applicable to both distributed quantities and integrated quantities such as terminal currents.


Monte Carlo Particle Density Device Simulation Stochastic Error Free Flight 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Wien 2001

Authors and Affiliations

  • H. Kosina
    • 1
  • M. Nedjalkov
    • 1
  • S. Selberherr
    • 1
  1. 1.Institute for MicroelectronicsTU ViennaViennaAustria

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