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 apply Monte Carlo simulations to the inputs/outputs of your model, see the Scenarios - Monte Carlo module.

Logistic

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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