Data Analysis of Step-Stress Accelerated Life Test with Random Group Effects under Weibull Distribution
作者: Juan WangXiao-Qiao He
作者单位: 1School of Economics and Management, Nanchang Hangkong University, Nanchang 330063, China
刊名: Mathematical Problems in Engineering, 2020, Vol.2020
来源数据库: Hindawi Journal
DOI: 10.1155/2020/4898123
原始语种摘要: Step-stress accelerating life test (SSALT), aiming to predict the failure behavior under use condition by the data collected from elevated test setting, is implemented to specimen with time-varying stress levels. Typical testing protocols in SSALT, such as subsampling, cannot guarantee complete randomization and thus result in correlated observations among groups. To consider the random effects from the group-to-group variation, we build a nonlinear mixed effect model (NLMM) with the assumption of Weibull distribution for life time data analysis from SSALT. Both maximum likelihood estimation (MLE) and Bayesian inference are introduced for the estimation and prediction of model parameters as well as other statistics of interest. Gauss–Hermite (G-H) quadrature is used to obtain an accurate...
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  • Analysis 分析
  • likelihood 似然
  • subsampling 二段抽样
  • routine 程序
  • statistics 统计
  • consider 仔细考虑
  • inference 推理
  • effect 效应
  • random 随机的
  • analysis 分析