scipy.special.nctdtrinc#
- scipy.special.nctdtrinc(df, p, t, out=None) = <ufunc 'nctdtrinc'>#
- Calculate non-centrality parameter for non-central t distribution. - See - nctdtrfor more details.- Parameters:
- dfarray_like
- Degrees of freedom of the distribution. Should be in range (0, inf). 
- parray_like
- CDF values, in range (0, 1]. 
- tarray_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 - Examples - >>> from scipy.special import nctdtr, nctdtrinc - Compute the CDF for several values of nc: - >>> nc = [0.5, 1.5, 2.5] >>> p = nctdtr(3, nc, 1.5) >>> p array([0.77569497, 0.45524533, 0.1668691 ]) - Compute the inverse. We recover the values of nc, as expected: - >>> nctdtrinc(3, p, 1.5) array([0.5, 1.5, 2.5])