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Casals, M. R.; Gil, M. A.; Gil, P.

On the use of Zadeh’s probabilistic definition for testing statistical hypotheses from fuzzy information. (English) Zbl 0611.62018

Fuzzy Sets Syst. 20, 175-190 (1986).
This paper deals with the testing of statistical hypotheses when the sample is fuzzy. The authors prove a fuzzy version of the Neyman-Pearson lemma and give a fuzzy Bayes test for testing a simple hypothesis against a simple alternative.
A sequel to the paper under review is the authors’ paper in Eur. J. Oper. Res. 27, 371-382 (1986; Zbl 0605.62018)].
Reviewer: O.Kaleva

Cited in 1 Review
Cited in 22 Documents

MSC:

62F03 Parametric hypothesis testing
62F15 Bayesian inference

Keywords:

fuzzy information; fuzzy test; fuzzy random sample; fuzzy version of the Neyman-Pearson lemma; fuzzy Bayes test; simple hypothesis

Citations:

Zbl 0605.62018
Cite Review PDF
Full Text: DOI

References:

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