DocumentCode
1966430
Title
Notice of Retraction
Empirical likelihood-based inference in multivariate fuzzy linear regression model
Author
Zhao Zhiwen ; Yang Li
Author_Institution
Coll. of Math., Jilin Normal Univ., Siping, China
Volume
2
fYear
2010
fDate
10-11 July 2010
Firstpage
15
Lastpage
18
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.
In this paper, we consider the fuzzy linear regression model proposed by Kim et al. and construct empirical likelihood ratio statistics of unknown parameters. Under suitable conditions, we prove that the statistics converges in distribution to χ2(p+1). Using these results, we can construct the confidence region of unknown parameters.
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.
In this paper, we consider the fuzzy linear regression model proposed by Kim et al. and construct empirical likelihood ratio statistics of unknown parameters. Under suitable conditions, we prove that the statistics converges in distribution to χ2(p+1). Using these results, we can construct the confidence region of unknown parameters.
Keywords
convergence of numerical methods; fuzzy set theory; maximum likelihood estimation; regression analysis; statistical distributions; empirical likelihood ratio statistics; fuzzy linear regression model; Integrated circuits; Tin; asymptotic χ2 distribution; confidence region; empirical likelihood ratio statistics; regression model;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial and Information Systems (IIS), 2010 2nd International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-7860-6
Type
conf
DOI
10.1109/INDUSIS.2010.5565691
Filename
5565691
Link To Document