期刊文献+

广义Kumaraswamy指数分布及其在生存分析中的应用

The generalized Kumaraswamy exponential distribution with application in survival analysis
下载PDF
导出
摘要 定义并研究了广义Kum指数分布(GKumE).给出GKumE分布的分布函数、密度函数以及风险函数,并讨论了其密度函数的展开以及一些数学性质.采用极大似然估计方法对GKumE分布参数进行估计.最后,利用一组实际寿命数据分析了GKumE分布的应用. The generalized Kumarawasmy exponential distribution is defined and analyzesed. Its CDF, PDF and haz ard rate function are given. An expansion of the PDF and some of its mathematics properties are discussed. The method of maximum likelihood is adopted for estimating the model parameters. At last, the paper uses a real data set to analyze the usefulness of GKumE.
作者 周唯 张帼奋
机构地区 浙江大学数学系
出处 《浙江大学学报(理学版)》 CAS CSCD 2013年第5期516-520,共5页 Journal of Zhejiang University(Science Edition)
基金 国家自然科学基金资助项目(J1210038)
关键词 广义Kum指数分布 矩及矩母函数 次序统计量 极大似然估计 generalized Kumaraswamy exponential distribution moments and moment generating function orderstatistics maximum likelihood method
  • 相关文献

参考文献7

  • 1KUMARASWAMY P. A generalized probability den- sity function for double-bounded random processes[J]. Journal of Hydrology, 1980,46 : 79-88.
  • 2NADARAJAH S. On the distribution of Kuma- rawamy[J]. Journal of Hydrology, 2008, 348:568 -569.
  • 3JONES M C. Kumaraswamy's distribution: A beta- type distribution with some tractability advantages[J]. Statistical Methodology, 2009,6 : 70-81.
  • 4CORDEIRO G M, ORTEGA E M M, NADARAJAHS. The Kumaraswamy Weibull distribution with ap- plication to failure data[J]. Journal of the Franklin In- stitute, 2010,347 : 1399-1429.
  • 5PASCOA M A R, ORTEGA E M M, CORDEORO G M. The Kumaraswamy generalized gamma distribution with application in survival analysis [J]. Statistical Methodology, 2011,8(5) :411-433.
  • 6GUPTA R C, GUPTA P L, GUPTA R D. Modeling failure time data by Lehman alternatives[-J]. Commu- nications in Statistics-Theory and Methods, 1998,27 (4) : 887- 904.
  • 7AARSET M V. How to identify a bathtub hazard rate [J]. IEEE Transaction on Reliability, 1987, 36: 106- 108.

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部