scipy.special.nctdtrit#
- scipy.special.nctdtrit(df, nc, p, out=None) = <ufunc 'nctdtrit'>#
- Inverse cumulative distribution function of the non-central t distribution. - See - nctdtrfor more details.- Parameters:
- dfarray_like
- Degrees of freedom of the distribution. Should be in range (0, inf). 
- ncarray_like
- Noncentrality parameter. 
- parray_like
- CDF values, in range (0, 1]. 
- outndarray, optional
- Optional output array for the function results 
 
- Returns:
- tscalar or ndarray
- Quantiles 
 
 - See also - Notes - This function calculates the quantile of the non-central t distribution using the Boost Math C++ library [1]. - Note that the argument order of - nctdtritis different from that of the similar- ppfmethod of- scipy.stats.nct: t is the last parameter of- nctdtritbut the first parameter of- scipy.stats.nct.ppf.- References [1]- The Boost Developers. “Boost C++ Libraries”. https://www.boost.org/. - Examples - >>> from scipy.special import nctdtr, nctdtrit - Compute the CDF for several values of t: - >>> t = [0.5, 1, 1.5] >>> p = nctdtr(3, 1, t) >>> p array([0.29811049, 0.46922687, 0.6257559 ]) - Compute the inverse. We recover the values of t, as expected: - >>> nctdtrit(3, 1, p) array([0.5, 1. , 1.5])