Confidence Intervals for Simulation Metrics and Probabilities

Confidence intervals for a simulation’s metrics and probabilities can be obtained using the .confidence_interval_metrics method. This method accepts the following parameters:

• simulation_time (int, optional): The duration of the simulation. The default is float('inf').
• confidence_level (float, optional): The confidence level used for calculating the interval. The default is 0.95.
• replications (int, optional): The number of simulation samples or replications. The default is 30.

This method returns two objects:

1. probabilities with confidence intervals
2. metrics with confidence intervals

The same procedure applies regardless of which queue discipline is selected. Below is an example of how to invoke this method:

# Calculate confidence intervals for metrics and probabilities
probabilities_with_optionals, metrics_with_optionals = simulation_with_optionals.confidence_interval_metrics(
    simulation_time=1000,
    confidence_level=0.99,
    replications=10,
)

In this example, the simulation runs for 1000 time units, uses a 99% confidence level, and performs 10 replications to calculate the resulting confidence intervals.