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POISSON-WEIGHTED EXPONENTIAL UNIVARIATE VERSION AND REGRESSION MODEL WITH APPLICATIONS | Science Publications

机译:Poisson加权的指数均值版本和回归模型及其应用科学出版物

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> 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.
机译: >本研究介绍了一种新的两参数混合Poisson分布,即Poisson-Weighted指数(P-WE),它是通过将Poisson分布与一类新的加权指数分布混合而获得的。与Poisson分布相比,新的P-WE分布为在分散计数数据上建模提供了更灵活的选择。提供了基于矩和最大似然法的P-WE分布估计程序。这项研究还介绍了P-WE回归模型,该模型可以拟合带有协变量的超分散计数数据。将P-WE分布和P-WE回归模型拟合到两组计数数据。

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