LogisticModel

class LogisticModel

Data class for the logistic model.

Examples

>>> from openturns.usecases import logistic_model
>>> # Load the logistic model
>>> lm = logistic_model.LogisticModel()

Attributes:

y0Constant

Initial population (in 1790) y0=3.9e6

aConstant

Parameter of the model a=0.03134

bConstant

Parameter of the model b=1.5887e-10

distY0Normal distribution

ot.Normal(y0, 0.1 * y0)

distANormal distribution

ot.Normal(a, 0.3 * a)

distBNormal distribution

ot.Normal(b, 0.3 * b)

distXComposedDistribution

The joint distribution of the input parameters.

modelSymbolicFunction

The logistic model of growth.

dataSample

22 dates from 1790 to 2000. First marginal represents dates and second marginal the population in millions.

__init__()

Examples using the class

Logistic growth model

Logistic growth model

Calibration of the logistic model

Calibration of the logistic model