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Yapay Zeka Hızlı Bakış & Çıkarımlar
AI Insight⚡ TL;DR(1 Cümlede Hızlı Çıkarım)
The results are illustrated by conducting simulation studies and numerical examples.
📌 3 Maddede Bu Makale
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Amaç & Hipotez:In this study, we introduce iterative restricted Liu estimator to combat multicollinearity in generalized linear models.
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Temel Bulgular & Veri:We also obtain necessary and sufficient conditions for the superiority of the first-order approximated restricted Liu estimator over the first-order approximated maximum likelihood and Liu estimators by the approximated mean squared error criterion.
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Sonuç & Katkı:The results are illustrated by conducting simulation studies and numerical examples.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Restricted Liu estimation · Multicollinearity · Generalized linear models
Abstract
In this study, we introduce iterative restricted Liu estimator to combat multicollinearity in generalized linear models. We also obtain necessary and sufficient conditions for the superiority of the first-order approximated restricted Liu estimator over the first-order approximated maximum likelihood and Liu estimators by the approximated mean squared error criterion. The results are illustrated by conducting simulation studies and numerical examples.
Anahtar kelimeler
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Bu Makaleye Atıf Yap
Kurtoğlu, F., Özkale, M. R. (2019). Restricted Liu estimator in generalized linear models: Monte Carlo simulation studies on gamma and Poisson distributed responses. Hacettepe Journal of Mathematics and Statistics, Volume: 48 Issue: 4. https://ajindex.com/articles/1402777