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  • 标题:ESTIMATION METHODS FOR THE NEW WEIBULL - PARETO DISTRIBUTION : SIMULATION AND APPLICATION
  • 本地全文:下载
  • 作者:Ehab. M. Almetwally ; Hisham Mohamed Almongy
  • 期刊名称:Journal of Data Science
  • 印刷版ISSN:1680-743X
  • 电子版ISSN:1683-8602
  • 出版年度:2019
  • 卷号:17
  • 期号:3
  • 页码:613-632
  • DOI:10.6339/JDS.201907_17(3).0009
  • 出版社:Tingmao Publish Company
  • 摘要:In this paper, we introduce the alternative methods to estimation for the new weibull-pareto distribution parameters. We discussed of point estimation and interval estimation for parameters of the new weibull-pareto distribution. We have also discussed the method of Maximum Likelihood estimation, the method of Least Squares estimation, the method of Weighted Least Squares estimation and the method of Maximum Product Spacing estimation. In addition, we discussed the raw moment of random variable X and the reliability functions (survival and hazard functions). Further, we compared between the results of the methods that have been discussed using Monte Carlo Simulation method and application study..
  • 关键词:The new Weibull-Pareto Distribution; Maximum Likelihood Estimation; least-squares Estimation; weighted least-squares Estimation; Maximum Product Spacing method; Interval Estimation; moment; Bootstrap and Reliability Functions
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