Zero-modified Poisson-Modification of Quasi Lindley distribution and its application

Autor: Ramajeyam Tharshan, Pushpakanthie Wijekoon
Rok vydání: 2022
Předmět:
Zdroj: Statistics in Transition New Series. 23:113-128
ISSN: 2450-0291
DOI: 10.2478/stattrans-2022-0045
Popis: The Poisson-Modification of Quasi Lindley (PMQL) distribution is a newly introduced mixed Poisson distribution for over-dispersed count data. The aim of this article is to introduce the Zero-modified PMQL (ZMPMQL) distribution as an alternative to the PMQL distribution in order to accommodate zero inflation/deflation. The method of obtaining the ZMPMQL distribution jointly with some of its important properties, namely the probability mass and distribution functions, mean, variance, index of dispersion, and quantile function are presented. Furthermore, some of its special cases are discussed. The maximum likelihood (ML) estimation method is used for the unknown parameter estimation. A simulation study is conducted in order to evaluate the asymptotic theory of the ML estimation method and to show the superiority of the ML method over the method of moments estimation. The applicability of the introduced distribution is illustrated by using a real-world data set.
Databáze: OpenAIRE