  One aspect of Poisson approximation is that the support of the random
variable of interest is often finite while the support of the Poisson
distribution is not. In this paper we will remedy this by examining truncated
negative binomial (of which Poisson is a special limiting case) approximation,
so as to match the two supports of both distributions, and show that this will
lead to improvements in the error bounds of the approximation.
