Optimization of data collection strategies for model-based evaluation and decision-making

@article{Cain2012OptimizationOD,
  title={Optimization of data collection strategies for model-based evaluation and decision-making},
  author={Robert Cain and Aad P. A. van Moorsel},
  journal={IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2012)},
  year={2012},
  pages={1-10}
}
Probabilistic and stochastic models are routinely used in performance, dependability and security evaluation, and determining appropriate values for model parameters is a long-standing problem in the practical use of such models. With the increasing emphasis on human aspects and business considerations, data collection to estimate parameter values often gets prohibitively expensive, since it may involve questionnaires, costly audits or additional monitoring and processing. In this paper we… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 23 references

Sensitivity analysis and related analyses: a review of some statistical techniques

  • J. P. Kleijnen
  • Journal of Statistical Computation and Simulation…
  • 1997
Highly Influential
4 Excerpts

Incorporating output variance in local sensitivity analysis for stochastic models

  • A. B. Massada, Y. Carmel
  • Ecological Modelling, vol. 213, no. 3-4, pp. 463…
  • 2008
1 Excerpt

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