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Stochastic models /

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One of the central problems in operations research and management science is how to quantify the effects of uncertainty about the future. This, the second volume in a series of handbooks, is devoted to models where chance events play a major role. The thirteen chapters survey topics in applied proba...

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Bibliographic Details
Corporate Author: ScienceDirect (Online service)
Other Authors: Heyman, Daniel P., Sobel, Matthew J.
Format: eBook
Language:English
Language Notes:English.
Published: Amsterdam ; New York : New York, NY, U.S.A. : North-Holland ; Sole distributor for the U.S.A. and Canada, Elsevier Science Pub. Co., 1990.
Series:Handbooks in operations research and management science ; v. 2.
Subjects:
Stochastic processes.
Stochastic Processes
Processus stochastiques.
MATHEMATICS > Probability & Statistics > General.
Stochastic processes
Mathematical models
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Call Number: QA274 .S82 1990
 
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QA274 .S82 1990 Available