- 期刊
Likelihood Ratio Test Based on Fuzzy Data
並列摘要
A likelihood ratio procedure is introduced in order to test statistical hypotheses when the available data are imprecise (fuzzy) rather than crisp. First, we provide a suitable construction for dealing with fuzzy data based on the concepts of fuzzy sample space and fuzzy-valued random sample. Then, we establish the likelihood ratio procedure using the probability distribution associated with these concepts. Some numerical examples are given for testing the parameters of binomial and normal distributions that will provide an illustration of the procedure.
延伸閱讀
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