scipy.special.nctdtrit

scipy.special.nctdtrit(df, nc, p, out=None) = <ufunc 'nctdtrit'>

Inverse cumulative distribution function of the non-central t distribution.

See nctdtr for more details.

Parameters:

dfarray_like

Degrees of freedom of the distribution. Should be in range (0, inf).

ncarray_like

Noncentrality parameter. Should be in range (-1e6, 1e6).

parray_like

CDF values, in range (0, 1].

outndarray, optional

Optional output array for the function results

Returns:

tscalar or ndarray

Quantiles

See also

nctdtr

CDF of the non-central t distribution.

nctdtridf

Calculate degrees of freedom, given CDF and iCDF values.

nctdtrinc

Calculate non-centrality parameter, given CDF iCDF values.

Examples

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>>> 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])

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