Analysis and Design of Simulation Experiments for the Approximation of Models

Fedorov V (1983). Analysis and Design of Simulation Experiments for the Approximation of Models. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-83-071

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Abstract

Much of IIASA's work is concerned with modeling large and complex systems. However, the resulting mathematical models tend to become very complicated and unwieldy, making it very difficult to identify the key relationships between the variables. To overcome this problem, it is often necessary to approximate these "primary models" by more transparent "secondary models".

In this paper, Valeri Fedorov discusses these problems and presents a statistical procedure for secondary model construction. The use of the method is illustrated by application to one of the IIASA energy models.

Item Type: Monograph (IIASA Working Paper)
Research Programs: System and Decision Sciences - Core (SDS)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 01:53
Last Modified: 09 Nov 2016 07:30
URI: http://pure.iiasa.ac.at/2241

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