Title :
Notice of Retraction
Parameter estimation of accelerated model for Birnbaum-Saunders distribution based on best unbiased integral estimate method
Author :
Li Yang ; Xiaobing Ma
Author_Institution :
Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Birnbaum-Saunders fatigue life distribution is one of the common distributions, the use of which in the accelerated life test is discussed in this paper. A regression model is established according to its characteristics. Then the parameters of accelerated model are obtained by means of best unbiased integral estimate method, which makes use of censored data in different stress levels as a whole. The present method is better than the traditional group analysis test method in the precision of statistical inference, and a great number of specimens can be saved.
Keywords :
fatigue; parameter estimation; regression analysis; Birnbaum-Saunders distribution; Birnbaum-Saunders fatigue life distribution; accelerated model; best unbiased integral estimate method; group analysis test method; parameter estimation; regression model; Acceleration; Estimation; Fatigue; Modeling; Parameter estimation; Reliability; Stress; Birnbaum-Saunders distribution; accelerated model; best unbiased integral estimate method; group analysis test method; parameter estimation; regression model;
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-1014-4
DOI :
10.1109/QR2MSE.2013.6625739
