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Dergiler / Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi / 2020 / Cilt: 36 Sayı: 3

Mean Square Error Performance of the Modified Jackknifed Ridge Predictors in the Linear Mixed Models

Özge Kuran(Dicle University Faculty of Science Department of Statistics Diyarbakır/TURKEY)0000-0001-5632-001X
Sayfa
400–407
Yayın Tarihi
2020-12-31
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Finally, a real data analysis is given to observe the behavior of the modified jackknifed ridge predictors.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:The goal of this study is to introduce the modified jackknifed ridge prediction method in the linear mixed models.
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Temel Bulgular & Veri:Then, the matrix mean square error (MMSE) comparisons are done.
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Sonuç & Katkı:Finally, a real data analysis is given to observe the behavior of the modified jackknifed ridge predictors.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Jackknifed ridge predictors · Linear mixed models · Modified jackknified ridge predictors

Özet

The goal of this study is to introduce the modified jackknifed ridge prediction method in the linear mixed models. Then, the matrix mean square error (MMSE) comparisons are done. Finally, a real data analysis is given to observe the behavior of the modified jackknifed ridge predictors.

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Bu Makaleye Atıf Yap

Kuran, Ö. (2020). Mean Square Error Performance of the Modified Jackknifed Ridge Predictors in the Linear Mixed Models. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi, Cilt: 36 Sayı: 3, 400–407. https://ajindex.com/articles/1266880

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Kaynakça (33)

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