# scipy.special.nbdtrin¶

scipy.special.nbdtrin(k, y, p) = <ufunc 'nbdtrin'>

Inverse of nbdtr vs n.

Returns the inverse with respect to the parameter n of y = nbdtr(k, n, p), the negative binomial cumulative distribution function.

Parameters
karray_like

The maximum number of allowed failures (nonnegative int).

yarray_like

The probability of k or fewer failures before n successes (float).

parray_like

Probability of success in a single event (float).

Returns
nndarray

The number of successes n such that nbdtr(k, n, p) = y.

nbdtr

Cumulative distribution function of the negative binomial.

nbdtri

Inverse with respect to p of nbdtr(k, n, p).

nbdtrik

Inverse with respect to k of nbdtr(k, n, p).

Notes

Wrapper for the CDFLIB  Fortran routine cdfnbn.

Formula 26.5.26 of ,

$\sum_{j=k + 1}^\infty {{n + j - 1}\choose{j}} p^n (1 - p)^j = I_{1 - p}(k + 1, n),$

is used to reduce calculation of the cumulative distribution function to that of a regularized incomplete beta $$I$$.

Computation of n involves a search for a value that produces the desired value of y. The search relies on the monotonicity of y with n.

References

1

Barry Brown, James Lovato, and Kathy Russell, CDFLIB: Library of Fortran Routines for Cumulative Distribution Functions, Inverses, and Other Parameters.

2

Milton Abramowitz and Irene A. Stegun, eds. Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. New York: Dover, 1972.

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