退化数据分析的EM算法(英文)

被引:7
作者
徐安察
汤银才
机构
[1] 华东师范大学金融与统计学院
关键词
退化数据; 随机效应; EM算法;
D O I
暂无
中图分类号
O213.2 [可靠性理论];
学科分类号
摘要
提出了用EM算法对产品可靠性进行分析.在退化模型中,当随机效应服从指数族分布时,推导了参数估计的一般公式并且通过模拟评价了随机效应分布选取的敏感性.最后分析了两个实际例子.
引用
收藏
页码:38 / 48
页数:11
相关论文
共 4 条
[1]   Bayesian methods for a growth-curve degradation model with repeated measures [J].
Robinson, ME ;
Crowder, MJ .
LIFETIME DATA ANALYSIS, 2000, 6 (04) :357-374
[2]   Reliability analysis using the least squares method in nonlinear mixed-effect degradation models [J].
Wu, SJ ;
Shao, J .
STATISTICA SINICA, 1999, 9 (03) :855-877
[3]   A comparison of degradation and failure-time analysis methods for estimating a time-to-failure distribution [J].
Lu, CJ ;
Meeker, WQ ;
Escobar, LA .
STATISTICA SINICA, 1996, 6 (03) :531-546
[4]  
Maximum Likelihood from Incomplete Data via the EM Algorithm[J] . A. P. Dempster,N. M. Laird,D. B. Rubin.Journal of the Royal Statistical Society. Series . 1977 (1)