Characterizations of Various Discrete Distributions III

Sometimes in real life cases, it is very difficult to obtain samples from a continuous distribution. The observed values are generally discrete due to the fact that they are not measured in continuum. In some cases, it may be possible to measure the observations via a continuous scale, however, they may be recorded in a manner in which a discrete model seems more suitable. Consequently, the discrete models are appearing quite frequently in applied Fields and have attracted the attention of many researchers in the applied fields. An investigator will be vitally interested to know if their model fits the requirements of a particular distribution. To this end, one will depend on the characterizations of this distribution which provide conditions under which the underlying distribution is indeed that particular distribution. This monograph is the continuation of our (2016) monograph which presents further characterizations of many recently introduced important discrete distributions.

Autorentext

Prof. Hamedani received his PhD from Michigan State University. He is a Professor at Marquette Univ. since 1982. Dr. Hamedani is the past Editor of the Journal of Statistical Theory and Applications (2005-2021) and before that on its Editorial Board. He has published over 400 research articles and authored/coauthored fourteen research monographs.