scipy.special.bdtrin#
- scipy.special.bdtrin(k, y, p, out=None) = <ufunc 'bdtrin'>#
- Inverse function to - bdtrwith respect to n.- Finds the number of events n such that the sum of the terms 0 through k of the Binomial probability density for events with probability p is equal to the given cumulative probability y. - Parameters:
- karray_like
- Number of successes (float). 
- yarray_like
- Cumulative probability (probability of k or fewer successes in n events). 
- parray_like
- Success probability (float). 
- outndarray, optional
- Optional output array for the function values 
 
- Returns:
- nscalar or ndarray
- The number of events n such that bdtr(k, n, p) = y. 
 
 - See also - Notes - Formula 26.5.24 of [1] is used to reduce the binomial distribution to the cumulative incomplete beta distribution. - 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. - Wrapper for the CDFLIB [2] Fortran routine cdfbin. - References [1]- Milton Abramowitz and Irene A. Stegun, eds. Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. New York: Dover, 1972. [2]- Barry Brown, James Lovato, and Kathy Russell, CDFLIB: Library of Fortran Routines for Cumulative Distribution Functions, Inverses, and Other Parameters.