Trend Analysis for Sparse Data

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/1106 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/1106 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/1106 archive 351 disk0/00/00/10/94 2016-01-15 01:46:13 2021-08-27 17:09:17 2016-01-15 01:46:13 monograph show 2 Nurminski E.A. AL0295 0000-0002-7236-6955 Vorontsov N.V. AL0404 Trend Analysis for Sparse Data pub iis_met prog_sds The major theme of this paper is to present some means for an analysis of changes in characteristics of complex systems. Such systems are characterized by a number of parameters which are interdependent. The data available on such systems are sparse in the sense that only a few such systems exist in the real world. Any attempt to choose uniform population with respect to some characteristics will decrease the number of data even more until a statistics approach becomes completely unreasonable. The alternative approach is based on pattern recognition ideas and uses an idea of separation of different classes of a complex system by multidimensional surfaces. The position of these surfaces demonstrates the trends in the system's development. The analysis of coal mines with respect to different criteria has been performed as an example. 1979-09 published WP-79-089 WP-79-089 2250 2489 public working_paper IIASA, Laxenburg, Austria 17 FALSE info:eu-repo/semantics/book