cupynumeric.random.noncentral_f#

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

Draw samples from the noncentral 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 > 1. nonc is the non-centrality parameter.

Parameters:

dfnum (float) – Numerator degrees of freedom, must be > 0.
dfden (float) – Denominator degrees of freedom, must be > 0.
nonc (float) – Non-centrality parameter, the sum of the squares of the numerator means, 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 noncentral Fisher distribution.

Return type:

ndarray or scalar