scipy.special.ncfdtrinc#
- scipy.special.ncfdtrinc(dfn, dfd, p, f, out=None) = <ufunc 'ncfdtrinc'>#
- Calculate non-centrality parameter for non-central F distribution. - This is the inverse with respect to nc of - ncfdtr. See- ncfdtrfor more details.- Parameters:
- dfnarray_like
- Degrees of freedom of the numerator sum of squares. Range (0, inf). 
- dfdarray_like
- Degrees of freedom of the denominator sum of squares. Range (0, inf). 
- parray_like
- Value of the cumulative distribution function. Must be in the range [0, 1]. 
- farray_like
- Quantiles, i.e., the upper limit of integration. 
- outndarray, optional
- Optional output array for the function results 
 
- Returns:
- ncscalar or ndarray
- Noncentrality parameter. 
 
 - See also - ncfdtr
- CDF of the non-central F distribution. 
- ncfdtri
- Quantile function; inverse of - ncfdtrwith respect to f.
- ncfdtridfd
- Inverse of - ncfdtrwith respect to dfd.
- ncfdtridfn
- Inverse of - ncfdtrwith respect to dfn.
 - Examples - >>> from scipy.special import ncfdtr, ncfdtrinc - Compute the CDF for several values of nc: - >>> nc = [0.5, 1.5, 2.0] >>> p = ncfdtr(2, 3, nc, 15) >>> p array([ 0.96309246, 0.94327955, 0.93304098]) - Compute the inverse. We recover the values of nc, as expected: - >>> ncfdtrinc(2, 3, p, 15) array([ 0.5, 1.5, 2. ])