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
andnumpy.float64
types are allowed.
Returns: Samples drawn from the noncentral chisquare distribution.
Return type: See also
numpy.random.noncentral_chisquare