Pages that link to "Item:Q924902"
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The following pages link to Solving operational statistics via a Bayesian analysis (Q924902):
Displaying 16 items.
- Weak aggregating algorithm for the distribution-free perishable inventory problem (Q614028) (← links)
- A two-step gradient estimation approach for setting supply chain operating parameters (Q1651591) (← links)
- The single-period (newsvendor) problem under interval grade uncertainties (Q1991278) (← links)
- Decision-based model selection (Q2029390) (← links)
- Optimal inventory management for a retail chain with diverse store demands (Q2253518) (← links)
- A practical inventory control policy using operational statistics (Q2488229) (← links)
- Dynamic pricing and inventory management with demand learning: a Bayesian approach (Q2664421) (← links)
- The newsvendor under demand ambiguity: combining data with moment and tail information (Q2806068) (← links)
- Directed Principal Component Analysis (Q2931712) (← links)
- Admissibility of Solution Estimators for Stochastic Optimization (Q4999345) (← links)
- Nonparametric Learning Algorithms for Joint Pricing and Inventory Control with Lost Sales and Censored Demand (Q5000652) (← links)
- Data-Driven Decisions for Problems with an Unspecified Objective Function (Q5137432) (← links)
- Technical note - operational statistics: Properties and the risk-averse case (Q5256812) (← links)
- Technical Note—Nonparametric Data-Driven Algorithms for Multiproduct Inventory Systems with Censored Demand (Q5740215) (← links)
- Data‐driven research in retail operations—A review (Q6072168) (← links)
- Can accessing much data reshape the theory? Inventory theory under the challenge of data-driven systems (Q6167658) (← links)
