Notice of RetractionA simple Bayesian estimation of the Log-logistic distribution

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.

When it comes to the Bayesian estimation of the Log-logistic distribution, practical use of Bayesian estimation of two parameter Log-logistic distribution often requires a two dimensional joint prior distribution of the Log-logistic parameters. It is particularly difficult to convince practitioners to believe any results from their subjective prior distributions. Therefore, there is relatively few results to discuss the theory and nature of Bayesian estimation of two-parameter Log-logistic distribution, not to mention gaining the simply Bayesian estimation. This paper obtains Bayesian estimation of two-parameter Log-logistic distribution by using a simple Bayesian estimation procedure which make it possible to quickly depict related event by using the simple Bayesian estimation in reliability and risk assessment. A numeric example is discussed as an illustration.