Logistic

Logistic distribution.

Description

The logistic distribution is a continuous distribution defined with a location (α\alpha) and shape (β\beta) parameters.

Probability Density Function:

z(x)=exp(xα)βf(x)=z(x)(α(1.0+z)2)z(x) = \exp{-\frac{(x - \alpha)}{\beta}} f(x) = \frac{z(x)}{(\alpha * (1.0 + z)^2)}

Cumulative Density Function:

F(x)=11+z(x)F(x) = \frac{1}{1+z(x)}

Input Parameters

  • locationLocation or mean of the distribution (alpha or mu)

    C++ Type:double

    Unit:(no unit assumed)

    Controllable:No

    Description:Location or mean of the distribution (alpha or mu)

  • shapeShape of the distribution (beta or s)

    C++ Type:double

    Unit:(no unit assumed)

    Controllable:No

    Description:Shape of the distribution (beta or s)

Required Parameters

  • control_tagsAdds user-defined labels for accessing object parameters via control logic.

    C++ Type:std::vector<std::string>

    Unit:(no unit assumed)

    Controllable:No

    Description:Adds user-defined labels for accessing object parameters via control logic.

  • enableTrueSet the enabled status of the MooseObject.

    Default:True

    C++ Type:bool

    Unit:(no unit assumed)

    Controllable:No

    Description:Set the enabled status of the MooseObject.

Advanced Parameters

References

No citations exist within this document.