Transmuted Lindley-Geometric Distribution and its applications
Methodology
2013-10-29 v2
Abstract
A functional composition of the cumulative distribution function of one probability distribution with the inverse cumulative distribution function of another is called the transmutation map. In this article, we will use the quadratic rank transmutation map (QRTM) in order to generate a flexible family of probability distributions taking Lindley geometric distribution as the base value distribution by introducing a new parameter that would offer more distributional flexibility. It will be shown that the analytical results are applicable to model real world data.
Keywords
Cite
@article{arxiv.1309.3774,
title = {Transmuted Lindley-Geometric Distribution and its applications},
author = {Faton Merovci and Ibrahim Elbatal},
journal= {arXiv preprint arXiv:1309.3774},
year = {2013}
}
Comments
20 pages, 6 figures. arXiv admin note: substantial text overlap with arXiv:1309.3268