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Publications in Scientific Journals:

A. Parchami, S. Taheri, R. Viertl, M. Mashinchi:
"Minimax test for fuzzy hypotheses";
Statistical Papers, Volume 59 (2018), 4; 1623 - 1648.



English abstract:
In hypotheses testing, such as other statistical problems, we may confront imprecise concepts. One case is a situation in which the hypotheses of interest are imprecise. In this paper, we recall and redefine some concepts about testing fuzzy hypotheses and then we provide a minimax approach to the problem of testing fuzzy hypotheses by using crisp (non-fuzzy) data. We give some illustrative/numerical examples, by which we study the effect of fuzziness by using the power functions of minimax tests.


"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1007/s00362-017-0926-4

Electronic version of the publication:
https://ideas.repec.org/a/spr/stpapr/v59y2018i4d10.1007_s00362-017-0926-4.html


Created from the Publication Database of the Vienna University of Technology.