✨
AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
The difference betvveen the estimated and the calculatcd modal val-ues causes an error in expected value vvhich is ob-tained using the lovver limit, upper limit and the modal value.
📌 3 Key Takeaways
🎯
Objective & Hypothesis:The modal value of the beta distribution is a functıon of the upper and Iower limits of the range.
📊
Key Findings & Data:That is, for a given range, the modal value ol the distribution is determinable.
💡
Conclusion & Impact:The difference betvveen the estimated and the calculatcd modal val-ues causes an error in expected value vvhich is ob-tained using the lovver limit, upper limit and the modal value.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:olasılıklı pert analizinde kullanılan beta dağılımı · işletme
Özet
The modal value of the beta distribution is a functıon of the upper and Iower limits of the range. That is, for a given range, the modal value ol the distribution is determinable. However, in probabilis-tic pert models, along vvith the upper and lovver limits, a modal value is also estimated. The difference betvveen the estimated and the calculatcd modal val-ues causes an error in expected value vvhich is ob-tained using the lovver limit, upper limit and the modal value.
🔖
Cite This Article
Unutulmaz, O. (1984). OLASILIKLI PERT ANALİZİNDE KULLANILAN BETA DAĞILIMININ BEKLENEN DEĞERİNİN HESABINDA ORTAYA ÇIKABİLECEK HATALARIN PARAMETRİK OLARAK İNCELENMESİ. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Sayı: 6, 107–111. https://ajindex.com/articles/119433