scipy.stats._continuous_distns:nct_gen

Notes

If $Y$ is a standard normal random variable and $V$ is an independent chi-square random variable (chi2) with $k$ degrees of freedom, then

has a non-central Student's t distribution on the real line. The degrees of freedom parameter $k$ (denoted df in the implementation) satisfies $k>0$ and the noncentrality parameter $c$ (denoted nc in the implementation) is a real number.

This distribution uses routines from the Boost Math C++ library for the computation of the pdf, cdf, ppf, sf and isf methods. ^[1]

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