On zero inflated generalized Poisson-Sujatha distribution and its applications

Samuel Aderwale Aderoju; Isaac Adeniyi

doi:10.26398/IJAS.0034-001

On zero inflated generalized Poisson-Sujatha distribution and its applications

Authors

Samuel Aderwale Aderoju Department of Statistics and Mathematical Sciences, Kwara State University, Malete, Nigeria
I.Adeniyi Department of Mathematical Sciences, Federal University Lokoja, P.M.B. 1530, Lokoja, Kogi State, Nigeria

DOI:

https://doi.org/10.26398/IJAS.0034-001

Keywords:

zero inflated Poisson, excess zeros, goodness-of-fit, moments, Maximum Likelihood

Abstract

Abstract: A new model called Zero Inflated generalized Poisson-Sujatha distribution (ZIGPSD) is proposed in this paper. Some characteristics of the model were derived and the maximum likelihood method was used to obtain the estimators of the parameters numerically in R-software. Through application to two data sets, goodness-of-fit of the ZIGPSD is tested and fitted count data with excess zeros better than zero inflated Poisson (ZIP) among other distributions.

Key words: zero inflated Poisson, excess zeros, goodness-of-fit, moments, Maximum Likelihood

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Published

2022-07-28

How to Cite

Aderoju, S. A., & Adeniyi, I. (2022). On zero inflated generalized Poisson-Sujatha distribution and its applications. Statistica Applicata - Italian Journal of Applied Statistics, 34(1), 7–22. https://doi.org/10.26398/IJAS.0034-001