scipy.special.bdtrc

scipy.special.bdtrc(k, n, p, out=None) = <ufunc 'bdtrc'>

Binomial distribution survival function.

Sum of the terms floor(k) + 1 through n of the binomial probability density,

\[\mathrm{bdtrc}(k, n, p) = \sum_{j=\lfloor k \rfloor +1}^n {{n}\choose{j}} p^j (1-p)^{n-j}\]

Parameters:

karray_like

Number of successes (double), rounded down to nearest integer.

narray_like

Number of events (int)

parray_like

Probability of success in a single event.

outndarray, optional

Optional output array for the function values

Returns:

yscalar or ndarray

Probability of floor(k) + 1 or more successes in n independent events with success probabilities of p.

See also

bdtr

betainc

Notes

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

\[\mathrm{bdtrc}(k, n, p) = I_{p}(\lfloor k \rfloor + 1, n - \lfloor k \rfloor).\]

Wrapper for the Cephes [1] routine bdtrc.

Array API Standard Support

bdtrc has experimental support for Python Array API Standard compatible backends in addition to NumPy. Please consider testing these features by setting an environment variable SCIPY_ARRAY_API=1 and providing CuPy, PyTorch, JAX, or Dask arrays as array arguments. The following combinations of backend and device (or other capability) are supported.

Library	CPU	GPU
NumPy	✅	n/a
CuPy	n/a	✅
PyTorch	✅	⛔
JAX	⚠️ no JIT	⛔
Dask	✅	n/a

See Support for the array API standard for more information.

References

[1]

Cephes Mathematical Functions Library, http://www.netlib.org/cephes/