Non-parametric inference based on reliability life-test of non-identical coherent systems with application to warranty time
Xiaojun Zhu and
N. Balakrishnan
Reliability Engineering and System Safety, 2023, vol. 232, issue C
Abstract:
In this paper, we develop non-parametric statistical inferential methods for component lifetime as well as system lifetime distributions based on a life-test of non-identical coherent systems with known signatures. This is done through maximum likelihood estimation method based on EM-algorithm and the cumulative hazard approach of Nelson–Aalen estimation method. We then extend the method to a multiple-stress problem by assuming the components in each sample to follow proportional hazards model. This model can also be used to test the effect of the structure of system on the lifetimes. Next, we apply the derived results in an application concerning warranty time. A Monte Carlo simulation study is then carried out to evaluate the performance of the developed inferential methods. Finally, some examples are presented for illustrative purpose.
Keywords: Cumulative hazard; Nelson–Aalen estimation; Proportional hazard; Non-parametric model; Semi-parametric model; Signature (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832023000054
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:232:y:2023:i:c:s0951832023000054
DOI: 10.1016/j.ress.2023.109090
Access Statistics for this article
Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares
More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().