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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Finally, two data sets are analyzed using the proposed goodness of fit tests.
📌 3 Key Takeaways
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Objective & Hypothesis:The Generalized Nakagami distribution is a popular distribution in wireless communication.
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Key Findings & Data:A Monte Carlo simulation study is performed in order to investigate the performance of these tests with regard to Type I errors and powers of tests.
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Conclusion & Impact:Finally, two data sets are analyzed using the proposed goodness of fit tests.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:C(α) test · Generalized Nakagami distribution · Likelihood ratio test
Abstract
The Generalized Nakagami distribution is a popular distribution in wireless communication. This distribution includes the Nakagami distribution as a special case. Likelihood ratio, score, and two C(α) tests are developed to evaluate the fit of Nakagami distribution against Generalized Nakagami distribution. A Monte Carlo simulation study is performed in order to investigate the performance of these tests with regard to Type I errors and powers of tests. Finally, two data sets are analyzed using the proposed goodness of fit tests.
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Cite This Article
ÖZONUR, D. (2023). Evaluating the Goodness of Fit of Generalized Nakagami Distribution. Cumhuriyet Science Journal, Cilt: 44 - Sayı: 1, 229–235. https://ajindex.com/articles/885440