Referenced Items are not available for this document.
In this article, we derive expressions for the asymptotic distribution of maximum likelihood estimators of model parameters in accelerated life tests (ALTs) when the model distribution is misspecified. We investigate results for two popular models, namely, the lognormal and Weibull Arrhenius-type ALT models. We propose test plan criteria based on asymptotic bias (ABias) and asymptotic mean squared error (AMSE) to derive ALT test plans. We derive 4:2:1 allocation plans that minimize either ABias2 or AMSE. These criteria provide control over estimation bias and variance when the model distribution is misspecified.
Published in:
Reliability, IEEE Transactions on
(Volume:54
,
Issue:
1
)
Date of Publication: March 2005
- Page(s):
- 43 - 52
- ISSN :
- 0018-9529
- INSPEC Accession Number:
- 8334836
- Digital Object Identifier :
- 10.1109/TR.2004.837316
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 07 March 2005
- Issue Date :
- March 2005
- Sponsored by :
- IEEE Reliability Society
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
