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Journals / Gazi University Journal of Science / 2015 / Cilt: 28 - Sayı: 1

A new estimator for stationary distribution of the inventory model of type (s, S)

Inventory Model of Type (s, S)

Esra GOKPİNAR
Tahir KHANİYEV
Hamza GAMGAM
Fikri GOKPİNAR
Pages
87–101
Publication Date
2015-02-23
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Using the straight line approach of Frees (1986a), we establish estimator for ergodic distribution of inventory model of type (s, S) and investigate asymptotic properties of this estimator such as consistency, asymptotic unbiasedness and asymptotic normality.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:We consider inventory model of type (s, S) which is used mostly in stock control policy.
📊
Key Findings & Data:It is very important to know characteristics of an inventory model of type (s, S), such as stationary distribution.
💡
Conclusion & Impact:Using the straight line approach of Frees (1986a), we establish estimator for ergodic distribution of inventory model of type (s, S) and investigate asymptotic properties of this estimator such as consistency, asymptotic unbiasedness and asymptotic normality.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Inventory model of type (s · Ergodic distribution · Estimation

Abstract

We consider inventory model of type (s, S) which is used mostly in stock control policy. It is very important to know characteristics of an inventory model of type (s, S), such as stationary distribution. Using the straight line approach of Frees (1986a), we establish estimator for ergodic distribution of inventory model of type (s, S) and investigate asymptotic properties of this estimator such as consistency, asymptotic unbiasedness and asymptotic normality.

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Cite This Article

GOKPİNAR, E., KHANİYEV, T., GAMGAM, H., GOKPİNAR, F. (2015). A new estimator for stationary distribution of the inventory model of type (s, S). Gazi University Journal of Science, Cilt: 28 - Sayı: 1, 87–101. https://ajindex.com/articles/254742

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