Simulation

4 steps for the development of a model of input data

  1. Data collection
  2. Identify a probability distribution to represent the input process (e.g. histograms)
  3. Parameter estimation for the chosen probability distribution (e.g. mean, variance, parameter estimators)
  4. Evaluation of the accuracy of the chosen probability distribution (goodness-of-fit tests)

Diskussion