Analysis and Design of Simulation Experiments for the Approximation of Models

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/2252 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/2252 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/2252 archive 351 disk0/00/00/22/41 2016-01-15 01:53:16 2021-08-27 17:11:23 2016-01-15 01:53:16 monograph show 2 Fedorov V. AL0636 Analysis and Design of Simulation Experiments for the Approximation of Models pub iis_met iis_mod prog_sds 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. 1983-07 published WP-83-071 WP-83-071 1870 public working_paper IIASA, Laxenburg, Austria 17 FALSE info:eu-repo/semantics/book