@article {10.3844/jmssp.2014.148.154,
article_type = {journal},
title = {POISSON-WEIGHTED EXPONENTIAL UNIVARIATE VERSION AND REGRESSION MODEL WITH APPLICATIONS},
author = {Zamani, Hossein and Ismail, Noriszura and Faroughi, Pouya},
volume = {10},
year = {2014},
month = {Mar},
pages = {148-154},
doi = {10.3844/jmssp.2014.148.154},
url = {https://thescipub.com/abstract/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.},
journal = {Journal of Mathematics and Statistics},
publisher = {Science Publications}
}