scholarly journals A Novel Framework for Learning Automata: A Statistical Hypothesis Testing Approach

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 27911-27922 ◽  
Author(s):  
Chong Di ◽  
Shenghong Li ◽  
Fangqi Li ◽  
Kaiyue Qi
Keyword(s):  
Hypothesis Testing ◽  
Learning Automata ◽  
Statistical Hypothesis ◽  
Statistical Hypothesis Testing ◽  
Testing Approach ◽  
Hypothesis Testing Approach

scholarly journals Possibility Measure of Accepting Statistical Hypothesis

Mathematics ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 551
Author(s):  
Jung-Lin Hung ◽  
Cheng-Che Chen ◽  
Chun-Mei Lai
Keyword(s):  
Hypothesis Testing ◽  
Null Hypothesis ◽  
Alternative Hypothesis ◽  
Statistical Testing ◽  
Statistical Hypothesis ◽  
Statistical Hypothesis Testing ◽  
Test Statistic ◽  
Possibility Measure ◽  
Testing Approach ◽  
Hypothesis Testing Approach

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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