- Monte Carlo
- Logistic
Logistic
Continuous distribution for modeling growth.
Parameters
Mean: Mean of the distribution.
Scale: Scale of the distribution.
Applications
Applied in modeling market penetration rates, analyzing new product adoption, and performing logistic regression in predictive analytics.
To integrate Monte Carlo samples in your scenarios, 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 output.
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