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Fuzzy Systems and Soft Computing, 2015, Volume 10, Issue 2, Pages 181–193
(Mi fssc19)
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This article is cited in 2 scientific papers (total in 2 papers)
Parameter estimation of multidimensional possibilistic distributions for a given risk level
I. V. Sorokina, S. V. Sorokin Tver State University, Tver
Abstract:
Based on the work of Dug Hun Hong, we present a solution to parameters estimation problem of fuzzy distributions in m-dimensional case and show that this estimator is consistent, sufficient and maximum likelihood. Our method is based on geometrical approach, where minimal area enclosing ellipsoid is constructed around the sample.
Keywords:
fuzzy distribution, parameter estimation.
Received: 15.12.2015 Revised: 18.12.2015
Citation:
I. V. Sorokina, S. V. Sorokin, “Parameter estimation of multidimensional possibilistic distributions for a given risk level”, Fuzzy Systems and Soft Computing, 10:2 (2015), 181–193
Linking options:
https://www.mathnet.ru/eng/fssc19 https://www.mathnet.ru/eng/fssc/v10/i2/p181
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