Asymptotic and Bootstrap techniques for testing the expected value of a fuzzy random variable

Manuel Montenegro, Ana Colubi, María Rosa Casals and María Ángeles Gil ()

Metrika: International Journal for Theoretical and Applied Statistics, 2004, vol. 59, issue 1, 49 pages

Abstract: In this paper we will consider hypothesis-tests for the (fuzzy-valued) mean value of a fuzzy random variable in a population. For this purpose, we will make use of a generalized metric for fuzzy numbers, and we will develop an approach for normal fuzzy random variables, and two different approaches for the case of fuzzy random variables taking on a finite number of different values. A real-life example illustrates the use of the last two approaches. Finally, a comparison between the introduced techniques is developed by means of simulation studies leading to close inferential conclusions. Copyright Springer-Verlag 2004

Keywords: Boot strap; Distance between fuzzy numbers; Fuzzy random variables; Large Smaple Theory (search for similar items in EconPapers)
Date: 2004
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Citations: View citations in EconPapers (14)

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Persistent link: https://EconPapers.repec.org/RePEc:spr:metrik:v:59:y:2004:i:1:p:31-49

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DOI: 10.1007/s001840300270

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