- Monte Carlo
- Negative Binomial
Negative Binomial
Discrete distribution for trials until a specified number of failures occur.
Parameters
Probability: Probability of success.
Shape: Shape of the distribution
Applications
Applied in modeling how many attempts it takes to reach a target, such as pitches to win a set number of mandates, and claim or default counts that vary more than a Poisson.
To apply Monte Carlo simulations to the inputs/outputs of your model, see the Scenarios - Monte Carlo module.

Outputs
Plot: Histogram of the distribution with selected Confidence Interval.
Data: Confidence Intervals, Summary Statistics and Percentiles. See a sample Monte Carlo output.
View demo for Normal distribution
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