Notice of RetractionE-Bayesian estimation of failure rate and its application

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.

This paper introduces a new method to estimate failure rate, which has been termed E-Bayesian estimation, gives two kinds of E-bayesian estimation, whose prior distribution-kernels of λ are λ^a-1 exp(-bλ) (0<;a<;1,0<;b<;c) and λ^a-1(0 <; a <;1) respectively, and compare with another estimation, whose prior distribution-kernel of λ_is exp(-bλ)(0<;b<;c). Then, we discuss properties of the E-Bayesian estimation. Finally, simulation studies are presented according to practical problems, the analysis and comparison to the estimation results are carried on.