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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Finally it is concluded that the fuzzy approach is also applicable for group sequential tests when response variable has binomial case.
📌 3 Key Takeaways
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Objective & Hypothesis:The aim of this study is to present the fuzzy statistics into group sequential test when response variable has binomial case.
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Key Findings & Data:Confidence intervals for fuzzy parameter estimation in group sequential test procedure is applied to construct the related fuzzy test statistic with the help of Buckley’s approach with r-cuts.
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Conclusion & Impact:Finally it is concluded that the fuzzy approach is also applicable for group sequential tests when response variable has binomial case.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Group sequential test · fuzzy statistics · asthma prevalence
Abstract
The aim of this study is to present the fuzzy statistics into group sequential test when response variable has binomial case. Confidence intervals for fuzzy parameter estimation in group sequential test procedure is applied to construct the related fuzzy test statistic with the help of Buckley’s approach with r-cuts. Afterwards, this present study is completed with a numerical application to real data. Finally it is concluded that the fuzzy approach is also applicable for group sequential tests when response variable has binomial case.
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Cite This Article
EMRİ, S., BACANLI, S., ICEN, D. (2022). Fuzzy approach of group sequential test for binomial case. Hacettepe Journal of Mathematics and Statistics, Cilt: 43 - Sayı: 6, 1017–1034. https://ajindex.com/articles/530343