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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/2842 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/2842 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/2842 archive 351 disk0/00/00/27/88 2016-01-15 01:56:52 2021-08-27 17:12:36 2016-01-15 01:56:52 monograph show 2 Fedorov V. AL0636 pub iis_mod iis_cmp iis_env prog_env Computerization of the environmental sciences is one of the most typical trends of the last two decades. A number of different models describing the same objects or phenomena are circulating in scientific media and interest in publications in which these models are compared has increased impressively. Usually the comparison is based on intuitive ideas, and the object of this paper is to give some recommendations on how to use standard statistical techniques for model comparison.The key theme consists of an introduction to several statistically reasonable discrepancy measures for competing models and their subsequent maximization by varying the location of an experimental network. In general. this paper covers the author's results in this sector of mathematical statistics. 1986-11 published WP-86-073 WP-86-073 10 1870 public working_paper IIASA, Laxenburg, Austria 14 FALSE info:eu-repo/semantics/book