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
. Seencfdtr
for 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
ncfdtr
with respect to f.ncfdtridfd
Inverse of
ncfdtr
with respect to dfd.ncfdtridfn
Inverse of
ncfdtr
with 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. ])