POISSON-WEIGHTED EXPONENTIAL UNIVARIATE VERSION AND REGRESSION MODEL WITH APPLICATIONS
Hossein Zamani1, Noriszura Ismail2 & Pouya Faroughi2 Show affiliations
- Hormozgan University, Iran
- Universiti Kebangsaan Malaysia, Malaysia
Journal of Mathematics and Statistics, Volume 10, Issue 2, pp. 148–154 · doi.org/10.3844/jmssp.2014.148.154
Abstract
This study introduces a new two-parameter mixed Poisson distribution, namely Poisson-Weighted Exponential (P-WE), which is obtained by mixing Poisson distribution with a new class of weighted exponential distribution. The new P-WE distribution provides a more flexible alternative for modelling over dispersed count data compared to Poisson distribution. The estimation procedures of P-WE distribution via method of moments and maximum likelihood are provided. This study also introduces P-WE regression model which can be fitted to over dispersed count data with covariates. The P-WE distribution and P-WE regression model are fitted to two sets of count data.
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Zamani, H., Ismail, N. & Faroughi, P. (2014). POISSON-WEIGHTED EXPONENTIAL UNIVARIATE VERSION AND REGRESSION MODEL WITH APPLICATIONS. Journal of Mathematics and Statistics, 10(2), 148–154. https://doi.org/10.3844/jmssp.2014.148.154
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