A new generalized Poisson mixed distribution and its application
| dc.contributor.author | Aderoju, S.A. | |
| dc.date.accessioned | 2023-08-24T12:18:13Z | |
| dc.date.available | 2023-08-24T12:18:13Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | A new generalized Poisson mixed distribution is proposed in this study called New Generalized Poisson-Sujatha distribution (NGPSD). The properties and application of the distribution are studied. The two parameter distribution is obtained by compounding Poisson distribution with a two parameter generalized Sujatha distribution. The distribution has a tendency to account for over-dispersion in count data. The first four moments, variance and coefficient of variation of the distribution are also obtained. The estimators of its parameters are obtained via maximum likelihood method using R-software. The goodness-of-fit of the distribution is compared with other distributions such as Poisson distribution (PO), negative binomial (NB), Generalized Poisson-Lindley (GPL) and a New Generalized Poisson-Lindley (NGPL) Distributions. It can be seen that the test statistic, AIC and BIC for the NGPSD are lower than those of competing distributions implying that the proposed distribution satisfactorily fits better to the data set. | |
| dc.identifier.citation | Aderoju, S.A. (2020). A New Generalized Poisson Mixed Distribution and its application. Applied Mathematical Sciences, Vol. 14, (5), 229–234. | |
| dc.identifier.doi | 10.12988/ams.2020.914185 | |
| dc.identifier.issn | 1314-7552 | |
| dc.identifier.issn | 1312-885X | |
| dc.identifier.uri | https://kwasuspace.kwasu.edu.ng/handle/123456789/1125 | |
| dc.language.iso | en | |
| dc.publisher | Applied Mathematical Sciences | |
| dc.relation.ispartof | Applied Mathematical Sciences | |
| dc.title | A new generalized Poisson mixed distribution and its application | |
| dc.type | journal-article | |
| oaire.citation.issue | 5 | |
| oaire.citation.volume | 14 |