Online Program Home
My Program

Abstract Details

Activity Number: 556
Type: Contributed
Date/Time: Wednesday, August 3, 2016 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Computing
Abstract #320568
Title: Parameter Estimation for the Modulated Extended Cumulative Exposure Model
Author(s): Takenori Sakumura* and Toshinari Kamakura
Companies: Chuo University and Chuo University
Keywords: step-stress accelerated life test ; the cumulative exposure model ; memoryless model ; extended cumulative exposure model ; modulated extended cumulative exposure model
Abstract:

The modulated extended cumulative exposure model (modulated ECEM) is another expression of the extended cumulative exposure model (ECEM) that includes features of the cumulative exposure model (CEM) and the memoryless model (MM). The CEM proposed by Nelson (1980) is often used to express the failure probability models and is widely accepted in reliability fields because accumulation of fatigue to each stress level is considered to be reasonable. Contrary to this, the MM is also used in electrical engineering because accumulation of fatigue is not observed in some cases. The ECEM and the modulated ECEM include features of both the described models. These models are often used to express the failure probability model in step-stress accelerated life test (SSALT). However, these models are sometimes difficult to estimate their parameters. In this study, we estimate their model parameters using MCMC and calculate their confidence intervals using the bootstrap method.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2016 program

 
 
Copyright © American Statistical Association