Zero-Truncated Geometric-Ishita Distribution and Its Application

Abstract

This article offers zero-truncated version of Geometric-Ishita distribution (GID) as a valid extension to existentIshita distribution. This coalition of discreet and continuousdistribution on zero-pruned setting makes the distributionmore data friendly. We study the behavior of distributionfunction over the values of parameter. Other character-istics, like moments, skewness, kurtosis, entropy are pre-sented. Also, method of maximum likelihood and methodof moments are discussed for estimating parameter. Finally,a real data analysis is furnished accompanied by the perfor-mance of other competitive distributions.