A note on the operativeness of Neyman-Pearson tests with fuzzy information

DOI10.1016/0165-0114(89)90082-1zbMath0665.62008OpenAlexW1964675535MaRDI QIDQ1116214

María Rosa Casals, María Ángeles Gil Álvarez

Publication date: 1989

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0165-0114(89)90082-1

zbMATH Keywords

central limit theoremNeyman-Pearson optimality criterion

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Statistical aspects of information-theoretic topics (62B10)

Related Items (6)

Analysis of variance for fuzzy data ⋮ Neyman-Pearson lemma for fuzzy hypotheses testing with vague data ⋮ TESTING STATISTICAL HYPOTHESES UNDER FUZZY DATA AND BASED ON A NEW SIGNED DISTANCE ⋮ Testing statistical hypotheses with vague data ⋮ Statistical hypotheses testing for fuzzy data ⋮ A fuzzy statistical test of fuzzy hypotheses

Cites Work

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• The fuzzy decision problem: An approach to the problem of testing statistical hypotheses with fuzzy information
• On the use of Zadeh's probabilistic definition for testing statistical hypotheses from fuzzy information
• The minimum inaccuracy estimates in \(\chi ^ 2\) tests for goodness of fit with fuzzy observations
• Fuzzy sets as a basis for a theory of possibility
• Possibility versus probability
• Probability measures of fuzzy events
• Fuzziness and loss of information in statistical problems
• A formulation of fuzzy decision problems with fuzzy information using probability measures of fuzzy events
• Fuzzy sets

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