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Journals / Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi / 2018 / Cilt: 22 Sayı: Özel

Optimal Asymptotic Tests for Nakagami Distribution

Deniz OZONUR
Hatice Tül Kübra AKDUR
Hülya BAYRAK
Pages
487–492
Publication Date
2018-10-05
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

These tests are then compared in terms of type I error and power of test by a Monte Carlo simulation study.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Nakagami distribution is often used to model positive valued data with right skewness.
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Key Findings & Data:The distribution includes some familiar distributions as special cases such as Rayleigh and Half-normal distributions.
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Conclusion & Impact:These tests are then compared in terms of type I error and power of test by a Monte Carlo simulation study.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Likelihood Ratio test · Score test · C(α) test

Özet

Nakagami distribution is often used to model positive valued data with right skewness. The distribution includes some familiar distributions as special cases such as Rayleigh and Half-normal distributions. In real life applications, one of the simpler model may be sufficient to describe data. The aim of this paper is to adapt tests of goodness of fit of the Rayleigh distribution against Nakagami distribution. In this study likelihood ratio, and score tests are specifically obtained. These tests are then compared in terms of type I error and power of test by a Monte Carlo simulation study.

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Cite This Article

OZONUR, D., AKDUR, H. T. K., BAYRAK, H. (2018). Optimal Asymptotic Tests for Nakagami Distribution. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Cilt: 22 Sayı: Özel, 487–492. https://ajindex.com/articles/701138

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