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Journals / Journal of FisheriesSciences.com / 2014 / Cilt: 8 - Sayı: 1

The Usage of Bayes Theory in Fisheries Sciences

BAYES TEORİSİNİN SU ÜRÜNLERİNDE KULLANIM OLANAKLARI

Mustafa AKAR
Sedat GÜNDOĞDU
Pages
8–16
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

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

Therefore, it could be concluded that the Bayesian approach was better than classical statistical method in the sense of efficiency and giving narrow confident intervals

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, we have examined the focus of using the Bayes statistical method to the field of fisheries.
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Key Findings & Data:It has been estimated the parameters and confidence intervals for length-weight simple linear regressionin fisheries by applying the Bayesian and classical statistical methods.
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Conclusion & Impact:Therefore, it could be concluded that the Bayesian approach was better than classical statistical method in the sense of efficiency and giving narrow confident intervals
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this study, we have examined the focus of using the Bayes statistical method to the field of fisheries. It has been estimated the parameters and confidence intervals for length-weight simple linear regressionin fisheries by applying the Bayesian and classical statistical methods. Therefore, it could be concluded that the Bayesian approach was better than classical statistical method in the sense of efficiency and giving narrow confident intervals

Özet

Bu çalışma ile Bayesyen istatistik yöntemin, su ürünleri alanındaki uygulama olanakları araştırılmıştır. Balıkçılık çalışmalarında kullanılan boy-ağırlık verilerine doğrusal regresyon yapılarak hem Bayesyen istatistik yöntem hem de klasik istatistik yöntemle ilgili parametreler ve güven aralıklar tahmin edilmiştir. Sonuçta, Bayesyen yaklaşımın klasik yaklaşımdan daha isabetli ve güvenilir olduğu saptanmıştır

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Cite This Article

AKAR, M., GÜNDOĞDU, S. (2022). The Usage of Bayes Theory in Fisheries Sciences. Journal of FisheriesSciences.com, Cilt: 8 - Sayı: 1, 8–16. https://ajindex.com/articles/563124

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References (8)

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