Zero-truncated Poisson distribution

In probability theory, the zero-truncated Poisson (ZTP) distribution is a certain discrete probability distribution whose support is the set of positive integers. It is the conditional probability distribution of a Poisson-distributed random variable, given that the value of the random variable is not zero. Thus it is impossible for a ZTP random variable to be zero. Consider for example the random variable of the number of items in a shopper's basket at a supermarket checkout line. Presumably a shopper does not stand in line with nothing to buy (i.e. the minimum purchase is 1 item), so this phenomenon may follow a ZTP distribution.

Since the ZTP is a truncated distribution with the truncation stipulated as k > 0, one can derive the the probability mass function g(k;λ) from a standard Poisson distribution f(k;λ) as follows:

$g(k;\lambda )=P(X=k\mid k>0)={\frac {f(k;\lambda )}{1-F(0)}}={\frac {\lambda ^{k}e^{-\lambda }}{k!\left(1-e^{-\lambda }\right)}}.$