scipy.special.bdtrik¶

scipy.special.bdtrik(y, n, p) = <ufunc 'bdtrik'>¶

Inverse function to bdtr with respect to k.

Finds the number of successes k such that the sum of the terms 0 through k of the Binomial probability density for n events with probability p is equal to the given cumulative probability y.

Parameters:

Parameters:	y : array_like Cumulative probability (probability of k or fewer successes in n events). n : array_like Number of events (float). p : array_like Success probability (float).
Returns:	k : ndarray The number of successes k such that bdtr(k, n, p) = y.

y : array_like

Cumulative probability (probability of k or fewer successes in n events).

n : array_like

Number of events (float).

p : array_like

Success probability (float).

Returns:

k : ndarray

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

See also

bdtr

Notes

Formula 26.5.24 of [R386] is used to reduce the binomial distribution to the cumulative incomplete beta distribution.

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

Wrapper for the CDFLIB [R387] Fortran routine cdfbin.

References

[R386]

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

[R387]

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