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A note on consistency and unbiasedness of point estimation with fuzzy data

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  • Dabuxilatu Wang

Abstract

Based on the SLLN for fuzzy random variables in uniform metric d ∞ , some asymptotical properties of point estimation with fuzzy random samples are investigated. The results of this paper establish a corresponding version on the consistency and unbiasedness of point estimation with n-dimensional fuzzy samples under considering a kind of fuzzy statistic. Copyright Springer-Verlag 2004

Suggested Citation

  • Dabuxilatu Wang, 2004. "A note on consistency and unbiasedness of point estimation with fuzzy data," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 60(1), pages 93-104, July.
    • Handle: RePEc:spr:metrik:v:60:y:2004:i:1:p:93-104
    DOI: 10.1007/s001840300298
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    Cited by:

    1. Shvedov, Alexey, 2016. "Estimating the means and the covariances of fuzzy random variables," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 42, pages 121-138.
    2. Pierpaolo D’Urso & María Ángeles Gil, 2017. "Fuzzy data analysis and classification," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 11(4), pages 645-657, December.

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