On Crevecoeur’s bathtub-shaped failure rate model
Junfeng Liu and
Yi Wang
Computational Statistics & Data Analysis, 2013, vol. 57, issue 1, 645-660
Abstract:
Crevecoeur (1993) developed a three-parameter bathtub-shaped failure rate model that enjoys nice mathematical properties and justification from engineering perspectives. In this paper, we derive the explicit formulas for the maximum likelihood estimation (MLE) of parameters for his model applied to both non-censored data and right-censored data. Meanwhile, explicit formulas for the MLE of parameters of Xie–Tang–Goh’s model (Xie et al., 2002) are given for both types of data in the paper. The results from using these two models are compared to some real data sets both in terms of AIC values and in terms of how well the intensity is fitted. We also investigate the MLE-based statistical inference including parameter confidence intervals and parameter significance test for both models. Finally, aiming at reliability-related decision-making and predicting the evolution behavior of a system, we report the relations of the reliability characteristics during the improvement phase to those of the steady service phase. A theory of system improvement limit is presented based on Crevecoeur’s failure rate model.
Keywords: Lifetime failure data; Bathtub curve; Censoring; Failure rate; Maximum likelihood estimation; Poisson process; Reliability; Repairable system (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167947312003052
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:csdana:v:57:y:2013:i:1:p:645-660
DOI: 10.1016/j.csda.2012.08.002
Access Statistics for this article
Computational Statistics & Data Analysis is currently edited by S.P. Azen
More articles in Computational Statistics & Data Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().