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Showing content from https://docs.scipy.org/doc/numpy-1.16.0/reference/generated/numpy.random.noncentral_f.html below:

numpy.random.noncentral_f — NumPy v1.16 Manual

dfnum : float or array_like of floats

Numerator degrees of freedom, should be > 0.

Changed in version 1.14.0: Earlier NumPy versions required dfnum > 1.

dfden : float or array_like of floats

Denominator degrees of freedom, should be > 0.

nonc : float or array_like of floats

Non-centrality parameter, the sum of the squares of the numerator means, should 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 if dfnum, dfden, and nonc are all scalars. Otherwise, np.broadcast(dfnum, dfden, nonc).size samples are drawn.


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