cupy.random.noncentral_chisquare#

cupy.random.noncentral_chisquare(df, nonc, size=None, dtype=<class 'float'>)[source]#

Noncentral chisquare distribution.

Returns an array of samples drawn from the noncentral chisquare distribution. Its probability density function is defined as

\[f(x) = \frac{1}{2}e^{-(x+\lambda)/2} \ \left(\frac{x}{\lambda}\right)^{k/4 - 1/2} \ I_{k/2 - 1}(\sqrt{\lambda x}),\]

where \(I\) is the modified Bessel function of the first kind.

Parameters:

df (float) – Parameter of the noncentral chisquare distribution \(k\).
nonc (float) – Parameter of the noncentral chisquare distribution \(\lambda\).
size (int or tuple of ints) – The shape of the array. If None, a zero-dimensional array is generated.
dtype – Data type specifier. Only numpy.float32 and numpy.float64 types are allowed.

Returns:

Samples drawn from the noncentral chisquare distribution.

Return type:

cupy.ndarray