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.
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 :
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