scipy.special.chndtr#
- scipy.special.chndtr(x, df, nc, out=None) = <ufunc 'chndtr'>#
- Non-central chi square cumulative distribution function - The cumulative distribution function is given by: \[P(\chi^{\prime 2} \vert \nu, \lambda) =\sum_{j=0}^{\infty} e^{-\lambda /2} \frac{(\lambda /2)^j}{j!} P(\chi^{\prime 2} \vert \nu + 2j),\]- where \(\nu > 0\) is the degrees of freedom ( - df) and \(\lambda \geq 0\) is the non-centrality parameter (- nc).- Parameters:
- xarray_like
- Upper bound of the integral; must satisfy - x >= 0
- dfarray_like
- Degrees of freedom; must satisfy - df > 0
- ncarray_like
- Non-centrality parameter; must satisfy - nc >= 0
- outndarray, optional
- Optional output array for the function results 
 
- Returns:
- xscalar or ndarray
- Value of the non-central chi square cumulative distribution function.