Likelihood ratio tests for fuzzy hypotheses testing
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Publication:2457781
DOI10.1007/S00362-006-0352-5zbMath1125.62009OpenAlexW2047520271MaRDI QIDQ2457781
Publication date: 23 October 2007
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-006-0352-5
Related Items (10)
Large and moderate deviations in testing Rayleigh diffusion model ⋮ A new approach for testing fuzzy hypotheses based on likelihood ratio statistic ⋮ Fuzzy approach for group sequential test ⋮ Fuzzy hypothesis testing with vague data using likelihood ratio test ⋮ Testing fuzzy hypotheses based on vague observations: a \(p\)-value approach ⋮ Unnamed Item ⋮ A Generalized Version of Neyman-Pearson Lemma for Testing Fuzzy Hypotheses Based onr-Level Sets ⋮ Minimax test for fuzzy hypotheses ⋮ Randomized versus non-randomized hypergeometric hypothesis testing with crisp and fuzzy hypotheses ⋮ Testing Fuzzy Hypotheses: A New p-value-based Approach
Cites Work
- Unnamed Item
- Unnamed Item
- Fuzzy hypothesis testing with hybrid data
- On the use of Zadeh's probabilistic definition for testing statistical hypotheses from fuzzy information
- Statistics with vague data
- A fuzzy decision problem based on the generalized Neyman-Pearson criterion
- Testing fuzzy hypotheses with crisp data
- A fuzzy statistical test of fuzzy hypotheses
- Testing statistical hypotheses with vague data
- Extension of fuzzy hypothesis testing with hybrid data
- Statistical tests optimally meeting certain fuzzy requirements on the power function and on the sample size
- An approach to fuzzy hypothesis testing
- Bayesian testing of fuzzy parametric hypotheses from fuzzy information
- Mathematical Statistics
- Fuzzy sets
- A Bayesian approach to fuzzy hypotheses testing
- Neyman-Pearson lemma for fuzzy hypotheses testing.
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