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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
In that research that situation is examined.
📌 3 Key Takeaways
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Objective & Hypothesis:There are different methods used for estimating seemingly unrelated regression equations.
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Key Findings & Data:One of those methods, generalized least square method, assumes that the errors are contemporaneously but autocorrelation is not included.
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Conclusion & Impact:In that research that situation is examined.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
There are different methods used for estimating seemingly unrelated regression equations. One of those methods, generalized least square method, assumes that the errors are contemporaneously but autocorrelation is not included. In that research that situation is examined.
Özet
Görünüşte ilişkisiz regresyon denklemlerinin kestiriminde kullanılan çeşitli yöntemler vardır. Bunlardan biri olan genelleştirilmiş en küçük kareler yöntemi, hataların aynı zamanda ilişkili olduğu, ancak otokorelasyon içermediğini varsayar. Araştırmada sözkonusu durum incelenmiştir.
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Cite This Article
AĞAOĞLU, E., UZGÖREN, N. (2022). Estimation of seemingly unrelated regression equations with generalized least square method. Anadolu Üniversitesi Fen Fakültesi Dergisi, Cilt: 0 - Sayı: 4, 39–52. https://ajindex.com/articles/438656