# scipy.special.nbdtr¶

scipy.special.nbdtr(k, n, p) = <ufunc 'nbdtr'>

Negative binomial cumulative distribution function.

Returns the sum of the terms 0 through k of the negative binomial distribution probability mass function,

$F = \sum_{j=0}^k {{n + j - 1}\choose{j}} p^n (1 - p)^j.$

In a sequence of Bernoulli trials with individual success probabilities p, this is the probability that k or fewer failures precede the nth success.

Parameters: k : array_like The maximum number of allowed failures (nonnegative int). n : array_like The target number of successes (positive int). p : array_like Probability of success in a single event (float). F : ndarray The probability of k or fewer failures before n successes in a sequence of events with individual success probability p.

nbdtrc

Notes

If floating point values are passed for k or n, they will be truncated to integers.

The terms are not summed directly; instead the regularized incomplete beta function is employed, according to the formula,

$\mathrm{nbdtr}(k, n, p) = I_{p}(n, k + 1).$

Wrapper for the Cephes [1] routine nbdtr.

References

 [1] (1, 2) Cephes Mathematical Functions Library, http://www.netlib.org/cephes/index.html

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