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Sufficiency and fuzziness in random experiments

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  • María Gil

Abstract

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Suggested Citation

  • María Gil, 1992. "Sufficiency and fuzziness in random experiments," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 44(3), pages 451-462, September.
    • Handle: RePEc:spr:aistmt:v:44:y:1992:i:3:p:451-462
    DOI: 10.1007/BF00050698
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    References listed on IDEAS

    as
    1. Maria Gil, 1988. "On the loss of information due to fuzziness in experimental observations," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 40(4), pages 627-639, December.
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    Cited by:

    1. 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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    1. Gil, Maria Angeles & Lopez-Diaz, Miguel & Lopez-Garcia, Hortensia, 1998. "The fuzzy hyperbolic inequality index associated with fuzzy random variables," European Journal of Operational Research, Elsevier, vol. 110(2), pages 377-391, October.

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