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Yapay Zeka Hızlı Bakış & Çıkarımlar
AI Insight⚡ TL;DR(1 Cümlede Hızlı Çıkarım)
Also, we discuss the consistency of the credibility premium generated by this distribution-free approach.
📌 3 Maddede Bu Makale
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Amaç & Hipotez:This paper focuses on weighted balanced loss function under the Esscher principle (WBLF) of which we explore the modern practice of credibility theory and we generalize credibility premiums by using the WBLF.
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Temel Bulgular & Veri:We obtain a distribution-free approach under the WBLF and the Esscher premium by using a minimization technique.
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Sonuç & Katkı:Also, we discuss the consistency of the credibility premium generated by this distribution-free approach.
🔬Tür:Research Article
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Credibility premium · Esscher premium · loss function
Abstract
This paper focuses on weighted balanced loss function under the Esscher principle (WBLF) of which we explore the modern practice of credibility theory and we generalize credibility premiums by using the WBLF. We obtain a distribution-free approach under the WBLF and the Esscher premium by using a minimization technique. Also, we discuss the consistency of the credibility premium generated by this distribution-free approach.
Anahtar kelimeler
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Bu Makaleye Atıf Yap
Metiri, F., Zeghdoudi, H., Remita, M. R. (2018). On weighted balanced loss function under the Esscher principle and credibility premiums. Hacettepe Journal of Mathematics and Statistics, Volume: 47 Issue: 1. https://ajindex.com/articles/1402980