Coolen, F.P.A. and Ahmadini, A.A.H. and Coolen-Maturi, T. (2021) 'Imprecise inference based on the log-rank test for accelerated life testing.', Metrika, 84 . pp. 913-925.
This paper presents an imprecise predictive inference method for accelerated life testing. The method is largely nonparametric, with a basic parametric function to link different stress levels. The log-rank test is used to provide imprecision for the link function parameter, which in turn provides robustness in the resulting lower and upper survival functions for a future observation at the normal stress level. An application using data from the literature is presented, and simulations show the performance and robustness of the method. In case of model misspecification, robustness may be achieved at the price of large imprecision, which would emphasize the need for more data or further model assumptions.
|Full text:||Publisher-imposed embargo |
(AM) Accepted Manuscript
File format - PDF (261Kb)
|Full text:||(VoR) Version of Record|
Available under License - Creative Commons Attribution 4.0.
Download PDF (351Kb)
|Publisher Web site:||https://doi.org/10.1007/s00184-021-00807-4|
|Publisher statement:||This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.|
|Date accepted:||08 January 2021|
|Date deposited:||26 January 2021|
|Date of first online publication:||09 February 2021|
|Date first made open access:||14 April 2021|
Save or Share this output
|Look up in GoogleScholar|