数学季刊 ›› 2018, Vol. 33 ›› Issue (4): 341-357.doi: 10.13371/j.cnki.chin.q.j.m.2018.04.002

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指数威布尔更新函数的近似计算

  

  1. School of Mathematics and Statistics, Zhaoqing University
  • 接受日期:2016-12-18 出版日期:2018-12-30 发布日期:2020-10-07
  • 作者简介:CHENG Cong-hua, Male, Sichuan, Associate Professor, Research area: Survival analysis and empirical likelihood.
  • 基金资助:
    supported by the National Natural Science Foundation of China(71801186); the National Natural Science Foundation of Guangdong(2018A030313829); the Science and Technology Innovation Guidance Project of Zhaoqing,Guangdong Province(201804031503); the higher education colleges and universities innovation strong school project of Guangdong(2016KTSCX153); the teaching reform project of Zhaoqing University(zlgc201745);

The Approximation of the Exponential Weibull Renewal Function

  1. School of Mathematics and Statistics, Zhaoqing University
  • Accepted:2016-12-18 Online:2018-12-30 Published:2020-10-07
  • About author:CHENG Cong-hua, Male, Sichuan, Associate Professor, Research area: Survival analysis and empirical likelihood.
  • Supported by:
    supported by the National Natural Science Foundation of China(71801186); the National Natural Science Foundation of Guangdong(2018A030313829); the Science and Technology Innovation Guidance Project of Zhaoqing,Guangdong Province(201804031503); the higher education colleges and universities innovation strong school project of Guangdong(2016KTSCX153); the teaching reform project of Zhaoqing University(zlgc201745);

摘要: The analytical renewal function(RF) is not tractable of the exponential Weibull(EW) distribution. In the proposed model, the n-fold convolution of the EW cumulative distribution function(CDF) is approximated by a n-fold convolutions of Gamma and normal CDFs. We obtain the EW RF by a series approximation model. The method is very simple in the computation. When the parameters are unknown, we present the asymptotic confidence interval of the RF. The validity of the asymptotic confidence interval is checked via some numerical experiments. 

关键词: Renewal function, EW distribution, Gamma distribution, Normal distribution, Series truncation approximation

Abstract: The analytical renewal function(RF) is not tractable of the exponential Weibull(EW) distribution. In the proposed model, the n-fold convolution of the EW cumulative distribution function(CDF) is approximated by a n-fold convolutions of Gamma and normal CDFs. We obtain the EW RF by a series approximation model. The method is very simple in the computation. When the parameters are unknown, we present the asymptotic confidence interval of the RF. The validity of the asymptotic confidence interval is checked via some numerical experiments. 

Key words: Renewal function, EW distribution, Gamma distribution, Normal distribution, Series truncation approximation

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