FisherF

Base class: Distribution

The ratio of two chi-squared distributions with degrees of freedom m (with default value 1.0) and n (with default value 1.0).

The probability density is given by,

$$f(x | m, n) = \frac{\[Gamma](../gamma/index.md)\left(\tfrac{m+n}{2}\right)}{\[Gamma](../gamma/index.md)\left(\tfrac{m}{2}\right)\[Gamma](../gamma/index.md)\left(\tfrac{n}{2}\right)} \left(\frac{m}{n}\right)^{\tfrac{m}{2}} x^{\tfrac{m}{2} - 1} \left(1 + \tfrac{mx}{n}\right)^{-\tfrac{m+n}{2}}.$$

Constructors

FisherF(const FisherF distribution) -> FisherF

Copy constructor for FisherF distribution.

Parameters

• distribution: FisherF distribution to be copied

Symbols

Name	Description
=	Copy assignment operator for FisherF distribution.

Members

Name	Description
m	First degree of freedom.
max	Returns the maximum possible value from the distribution
min	Returns the minimum possible value from the distribution
n	Second degree of freedom.
sample	Sample from distribution.