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  • 标题:Estimation Methods of Alpha Power Exponential Distribution with Applications to Engineering and Medical Data
  • 本地全文:下载
  • 作者:Mazen Nassar ; Ahmed Z. Afify ; Mohammed Shakhatreh
  • 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:149-166
  • DOI:10.18187/pjsor.v16i1.3129
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:This paper addresses the estimation of the unknown parameters of the alphapower exponential distribution (Mahdavi and Kundu, 2017) using nine frequentist estimation methods. We discuss the nite sample properties of the parameterestimates of the alpha power exponential distribution via Monte Carlo simulations. The potentiality of the distribution is analyzed by means of two real datasets from the elds of engineering and medicine. Finally, we use the maximumlikelihood method to derive the estimates of the distribution parameters undercompeting risks data and analyze one real data set.
  • 关键词:Alpha power transformation;hazard rate function;maximum likelihood estimation;method of maximum product spacing;simulation
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