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Yapay Zeka Hızlı Bakış & Çıkarımlar
AI Insight⚡ TL;DR(1 Cümlede Hızlı Çıkarım)
Finally, the accuracy of the asymptotic expansion is examined with Monte Carlo simulation method.
📌 3 Maddede Bu Makale
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Amaç & Hipotez:In this study, asymptotic expansion for ergodic distribution of an inventory control model of type s, S with generalized beta interference of chance is obtained, when S − s → ∞.
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Temel Bulgular & Veri:Moreover, weak convergence theorem is proved for ergodic distribution.
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Sonuç & Katkı:Finally, the accuracy of the asymptotic expansion is examined with Monte Carlo simulation method.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Inventory model of type s · renewal-reward process · generalized betadistribution
Abstract
In this study, asymptotic expansion for ergodic distribution of an inventory control model of type s, S with generalized beta interference of chance is obtained, when S − s → ∞. Moreover, weak convergence theorem is proved for ergodic distribution. Finally, the accuracy of the asymptotic expansion is examined with Monte Carlo simulation method.
Anahtar kelimeler
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Bu Makaleye Atıf Yap
Khaniyev, T., Aksop, C. (2011). ASYMPTOTIC RESULTS FOR AN INVENTORY MODEL OF TYPE s, S WITH A GENERALIZED BETA INTERFERENCE OF CHANCE. TWMS Journal of Applied and Engineering Mathematics, Volume: 01 Issue: 2. https://ajindex.com/articles/1604706