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

DE- and EDP$_{M}$- compound optimality for the information and probability-based criteria

W. A. HASSANEİN
N. M. KİLANY
Sayfa
580–591
Yayın Tarihi
2019-04-01
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

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Amaç & Hipotez:Several optimality criteria have been considered in the literature as information-based criteria.
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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:Optimum design · E-optimality · D-optimality

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 EDP${}_{M}$ -- optimum designs for multi aims of optimality for Generalized Linear Models (GLMs). An equivalence theorem 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

HASSANEİN, W. A., KİLANY, N. M. (2019). DE- and EDP$_{M}$- 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/669390

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Kaynakça (18)

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