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Journals / Gazi University Journal of Science / 2017 / Cilt: 30 - Sayı: 3

Standardized Likelihood Ratio Test for Homogeneity of Variance Based on Likelihood Ratio Under Normality

Esra Gökpınar
Pages
223–235
Publication Date
2017-09-20
DOI
—
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AI Summary & Key Takeaways

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

According to numeric results, the proposed method performs quite well according to its alternatives.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this article, standardized likelihood ratio test is proposed for the homogeneity of variances under normality.
📊
Key Findings & Data:The proposed method is compared with some of the existing methods via Monte Carlo simulation for various parameter combinations, different group sizes and sample sizes in terms of type I error rate and power of test.
💡
Conclusion & Impact:According to numeric results, the proposed method performs quite well according to its alternatives.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Standardized likelihood ratio test · Homogeneity of variances · Type I error

Abstract

In this article, standardized likelihood ratio test is proposed for the homogeneity of variances under normality. The proposed method is compared with some of the existing methods via Monte Carlo simulation for various parameter combinations, different group sizes and sample sizes in terms of type I error rate and power of test. According to numeric results, the proposed method performs quite well according to its alternatives.

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Cite This Article

Gökpınar, E. (2017). Standardized Likelihood Ratio Test for Homogeneity of Variance Based on Likelihood Ratio Under Normality. Gazi University Journal of Science, Cilt: 30 - Sayı: 3, 223–235. https://ajindex.com/articles/254670

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