LogisticModel¶
- class LogisticModel¶
Data class for the logistic model.
Examples
>>> from openturns.usecases import logistic_model as 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__()¶
Initialize self. See help(type(self)) for accurate signature.