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  • 标题:Odd Generalized N-H Generated Family of Distributions with Application to Exponential Model
  • 本地全文:下载
  • 作者:Zubair Ahmad ; M. Elgarhy ; G.G. Hamedani
  • 期刊名称:Pakistan Journal of Statistics and Operation Research
  • 印刷版ISSN:2220-5810
  • 出版年度:2020
  • 卷号:16
  • 期号:1
  • 页码:53-71
  • DOI:10.18187/pjsor.v16i1.2295
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:A new family of distributions called the odd generalized N-H is introduced and studied. Four new special models are presented. Some mathematical properties of the odd generalized N-H family are studied. Explicit expressions for the moments, probability weighted, quantile function, mean deviation, order statistics and Rényi entropy are investigated. Characterizations based on the truncated moments, hazard function and conditional expectations are presented for the generated family. Parameter estimates of the family are obtained based on maximum likelihood procedure. Two real data sets are employed to show the usefulness of the new family.
  • 关键词:N-H distribution;Order statistics;Maximum likelihood estimation
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