new ContinuousDistribution(meanopt, varianceopt)
The abstract base class for continuous distributions
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
mean |
float |
<optional> |
The mean of the distribution (if it has one) |
variance |
float |
<optional> |
The variance of the distribution (if it has one) |
Extends
Methods
(abstract) cdf()
The cumulative probability distribution function of the parametrised distribution.
- Inherited From:
- Source:
(abstract) fitData()
Method to fit distribution to data.
- Inherited From:
- Source:
(abstract) isUniquelyDetermined() → {bool}
The distribution is uniquely determined if it has all the parameters it
requires to compute all other quantities of interest.
- Inherited From:
- Source:
Returns:
- true if this distribution is uniquely determined, false otherwise
- Type
- bool
(abstract) pdf()
The probability density function of the parametrised distribution.