cupynumeric.random.f#

cupynumeric.random.f(dfnum, dfden, size=None)#

Draw samples from an F distribution.

Samples are drawn from an F distribution with specified parameters, dfnum (degrees of freedom in numerator) and dfden (degrees of freedom in denominator), where both parameters must be greater than zero.

The random variate of the F distribution (also known as the Fisher distribution) is a continuous probability distribution that arises in ANOVA tests, and is the ratio of two chi-square variates.

Parameters:

dfnum (float) – Degrees of freedom in numerator, must be > 0.
dfden (float) – Degrees of freedom in denominator, must be > 0.
size (int or tuple of ints, optional) – Output shape. If the given shape is, e.g., (m, n, k), then m * n * k samples are drawn. If size is None (default), a single value is returned.

Returns:

out – Drawn samples from the parameterized Fisher distribution.

Return type:

ndarray or scalar