DocumentCode
3439256
Title
Notice of Retraction
A simple Bayesian estimation of the Log-logistic distribution
Author
Wanbo Lu ; Ke Rui
Author_Institution
Sch. of Stat., Southwestern Univ. of Finance & Econ., Chengdu, China
fYear
2013
fDate
15-18 July 2013
Firstpage
1069
Lastpage
1073
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.
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.
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.
Keywords
Bayes methods; estimation theory; reliability theory; risk analysis; statistical distributions; Bayesian estimation; dimensional joint prior distribution; parameter log logistic distribution; reliability assessment; risk assessment; subjective prior distribution; Bayes methods; Joints; Maximum likelihood estimation; Method of moments; Reliability; Standards; Bayesian estimation; Beta distribution; Log-logistic distribution; reliability and risk assessment;
fLanguage
English
Publisher
ieee
Conference_Titel
Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4799-1014-4
Type
conf
DOI
10.1109/QR2MSE.2013.6625750
Filename
6625750
Link To Document