  Extended geometric distribution is defined and its mixture is characterized
by the property of having completely monotone probability sequence. Also,
convolution equations and probability generating functions are used to
characterize extended geometric distributions. Further, some characterizations
of Harris and negative binomial distributions based on probability generating
functions are obtained. Relations between these distributions are derived and
finally a gamma distribution is characterized in terms of its Laplace
transform.
