Asymptotic inversion of the binomial and negative binomial cumulative distribution functions
classification
🧮 math.CA
cs.NAmath.NA
keywords
binomialinversionasymptoticdistributionfunctionscumulativemethodsnegative
read the original abstract
The computation and inversion of the binomial and negative binomial cumulative distribution functions play a key role in many applications. In this paper, we explain how methods used for the central beta distribution function (described in [2]) can be used to obtain asymptotic representations of these functions, and also for their inversion. The performance of the asymptotic inversion methods is illustrated with numerical examples.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.