Please use this identifier to cite or link to this item: https://doi.org/10.1109/TR.2002.1011523
Title: A least-squares approach to analyzing life-stress relationship in step-stress accelerated life tests
Authors: Teng, S.-L.
Yeo, K.-P. 
Keywords: D-statistic
Exponential distribution
Step-stress accelerated life test
Transformed least squares estimation method
Issue Date: Jun-2002
Citation: Teng, S.-L., Yeo, K.-P. (2002-06). A least-squares approach to analyzing life-stress relationship in step-stress accelerated life tests. IEEE Transactions on Reliability 51 (2) : 177-182. ScholarBank@NUS Repository. https://doi.org/10.1109/TR.2002.1011523
Abstract: A new approach is proposed for the data analysis of failure-censored step-stress accelerated life tests with exponential failures, following an assumed log-linear life-stress relationship. This approach, transformed least squares: 1) provides closed-form parameter estimates;, 2) motivates a simple statistic for life-stress relationship verification; and 3) appreciably simplifies the derivation of optimal test plans. The proposed D-statistic has good power and compares reasonably well with likelihood-ratio test statistic. Estimates are unbiased and exact for failure-step tests of any sample size. The derived optimal test plans agree with those derived using maximum likelihood estimation.
Source Title: IEEE Transactions on Reliability
URI: http://scholarbank.nus.edu.sg/handle/10635/105468
ISSN: 00189529
DOI: 10.1109/TR.2002.1011523
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

27
checked on Jan 18, 2022

WEB OF SCIENCETM
Citations

20
checked on Jan 18, 2022

Page view(s)

122
checked on Jan 20, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.