Geodesic
Convergence of Estimated Optimal Inventory Levels in Models With Probabilistic Demands
Yugoslav journal of operations research, Tome 13 (2003) no. 2, p. 217 .

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The behavior of estimations of the optimal inventory level is analyzed. Two models are studied. The demands follow unknown probability distribution function. The included density functions are estimated and a plug-in rule is suggested for computing estimates of the optimal levels. Two search algorithms are proposed and compared using Monte Carlo experiments.
Keywords: Backorders, simulated annealing, density function estimation. 
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     author = {Carlos N. Bouza},
     title = {Convergence of {Estimated} {Optimal} {Inventory} {Levels} in {Models} {With} {Probabilistic} {Demands}},
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Carlos N. Bouza. Convergence of Estimated Optimal Inventory Levels in Models With Probabilistic Demands. Yugoslav journal of operations research, Tome 13 (2003) no. 2, p. 217 . http://geodesic.mathdoc.fr/item/YJOR_2003_13_2_a7/