无失效数据的EM算法

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名

邮箱

手机号码

标题

留言内容

验证码

Statistical Analysis for Zero-Failure Data with EM Algorithm

1.
Department of Statistics, East China Normal University, Shanghai 200062, China

摘要: 在可靠性统计的定时截尾寿命试验中,最后一个失效时间与定时截尾时刻之间的信息常被忽略. 本文利用EM算法来处理这一情形.先用已知数据来估计出未观察到的潜在数据, 进而得出可靠性指标的估计.并将EM算法与极大似然估计及修正极大似然估计进行了比较,可以明显看出EM方法优于后两者.最后将EM算法推广到无失效数据情形下,得出无失效数据下的指数分布平均寿命的一个估计.
- 指数分布 /
- 无失效数据 /
- 定时截尾 /
- EM算法 /
- 极大似然估计 /
- 修正极大似然估计
Abstract: The paper dealt with Type I censored sample by EM algorithm. Observed failure data were used to estimate unobserved failure data, and the distribution's estimated parameter was obtained. Moreover, a comparison of EM algorithm, maximum likehood estimation and a modified maximum likehood estimation was made. Finally,EM algorithm was used to statistical analysis for zero-failure data, and to estimate the exponential distribution's parameter.
- exponential distribution /
- zero-failure data /
- time curtailed test /
- EM algorithm /
- maximum likelihood estimation /
- revised maximum

点击查看大图