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Dergiler / Hacettepe Journal of Mathematics and Statistics / 2019 / Cilt: 48 - Sayı: 2

DE- and EDPM- compound optimality for the information and probability-based criteria

W. A. Hassanein
N. M. Kilany
Sayfa
580–591
Yayın Tarihi
2022-10-18
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Finally, two numerical examples are given to illustrate the potentiality of the proposed compound criteria.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Several optimality criteria have been considered in the literature as information-based criteria.
📊
Temel Bulgular & Veri:The probability- based criteria have been recently proposed for maximizing the probability of a desired outcome.
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Sonuç & Katkı:Finally, two numerical examples are given to illustrate the potentiality of the proposed compound criteria.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

Several optimality criteria have been considered in the literature as information-based criteria. The probability- based criteria have been recently proposed for maximizing the probability of a desired outcome. However, designs that are optimal for the information- based criteria may be inadequate for probability- based criteria. This paper introduces the DE- and EDPM – optimum designs for multi aims of optimalityforGeneralizedLinearModels(GLMs). Anequivalencetheorem is proved for both compound criteria. Finally, two numerical examples are given to illustrate the potentiality of the proposed compound criteria.

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Bu Makaleye Atıf Yap

Hassanein, W. A., Kilany, N. M. (2022). DE- and EDPM- compound optimality for the information and probability-based criteria. Hacettepe Journal of Mathematics and Statistics, Cilt: 48 - Sayı: 2, 580–591. https://ajindex.com/articles/529743

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