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  • 标题:The Poisson-G Family of Distributions with Applications
  • 本地全文:下载
  • 作者:T. H. M. Abouelmagd ; M. S. Hamed ; Abd El Hadi N Ebraheim
  • 期刊名称:Pakistan Journal of Statistics and Operation Research
  • 印刷版ISSN:2220-5810
  • 出版年度:2017
  • 卷号:13
  • 期号:2
  • 页码:313-326
  • DOI:10.18187/pjsor.v13i2.1740
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:We define and study a new class of continuous distributions called the Poisson- family . We present three of its several special models. Some of its mathematical properties including explicit expressions for the ordinary and incomplete moments, quantile and generating functions and entropies are provided. The estimations of the model parameters is carried out using maximum likelihood method. The flexibility of the new family is illustrated by means of two applications to real data sets.
  • 其他摘要:We define and study a new class of continuous distributions called the Poisson-  family . We present three of its several special models. Some of its mathematical properties including explicit expressions for the ordinary and incomplete moments, quantile and generating functions and entropies are provided. The estimations of the model parameters is carried out using maximum likelihood method. The flexibility of the new family is illustrated by means of two applications to real data sets.
  • 关键词:Entropy; Generating Function; Generalized Exponential Poisson; Maximum Likelihood.
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