Possibility Measure of Accepting Statistical Hypothesis
Jung-Lin Hung, Cheng‐Che Chen, Chun-Mei Lai
Abstract
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Jung-Lin Hung, Cheng‐Che Chen, Chun-Mei Lai
Abstract
Open-access reader
Taking advantage of the possibility of fuzzy test statistic falling in the rejection region, a statistical hypothesis testing approach for fuzzy data is proposed in this study. In contrast to classical statistical testing, which yields a binary decision to reject or to accept a null hypothesis, the proposed approach is to determine the possibility of accepting a null hypothesis (or alternative hypothesis). When data are crisp, the proposed approach reduces to the classical hypothesis testing approach.
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Taking advantage of the possibility of fuzzy test statistic falling in the rejection region, a statistical hypothesis testing approach for fuzzy data is proposed in this study. In contrast to classical statistical testing, which yields a binary decision to reject or to accept a null hypothesis, the proposed approach is to determine the possibility of accepting a null hypothesis (or alternative hypothesis). When data are crisp, the proposed approach reduces to the classical hypothesis testing approach.
Key concepts: Null hypothesis, Statistical hypothesis testing, Test statistic, Alternative hypothesis, Null (SQL), Statistic, Contrast (vision), p-value