A stochastic programming model to find optimal sample sizes to estimate unknown parameters in a linear program

A stochastic programming model to find optimal sample sizes to estimate unknown parameters in a linear program

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Article ID: iaor20043335
Country: Netherlands
Volume: 32
Issue: 1
Start Page Number: 59
End Page Number: 67
Publication Date: Jan 2004
Journal: Operations Research Letters
Authors: ,
Keywords: stochastic processes
Abstract:

An LP is considered where the technology coefficients are unknown and random samples are taken to estimate them. A stochastic programming problem is formulated to find the optimal sample sizes where it is required that a confidence interval should cover the unknown deterministic optimum value by a given probability and the cost of sampling be minimum.

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