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005 | 20200114135232.0 | ||
008 | 191008 | ||
020 | _a3-540-66619-2 | ||
040 | _cIZA | ||
100 |
_a Bock, Hans Hermann _94465 _c(ed.) |
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100 |
_a Diday, Edwin _94467 _c(ed.) |
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245 | 0 | _aAnalysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data | |
260 |
_c2000 _bSpringer, _aBerlin et al., |
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300 | _a425 pages | ||
340 | _hC4 20 | ||
440 |
_aStudies in Classification, Data Analysis, and Knowledge Organization _95513 |
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520 | _aRaymond Bisdorff CRP-GL, Luxembourg The development of the SODAS software based on symbolic data analysis was extensively described in the previous chapters of this book. It was accompanied by a series of benchmark activities involving some official statistical institutes throughout Europe. Partners in these benchmark activities were the National Statistical Institute (INE) of Portugal, the Instituto Vasco de Estadistica Euskal (EUSTAT) from Spain, the Office For National Statistics (ONS) from the United Kingdom, the Inspection Generale de la Securite Sociale (IGSS) from Luxembourg 1 and marginally the University of Athens . The principal goal of these benchmark activities was to demonstrate the usefulness of symbolic data analysis for practical statistical exploitation and analysis of official statistical data. This chapter aims to report briefly on these activities by presenting some signifi cant insights into practical results obtained by the benchmark partners in using the SODAS software package as described in chapter 14 below. | ||
650 |
_astatistical analysis _9959 |
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650 |
_astatistical software _95624 |
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650 |
_arelational databases _96401 |
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650 |
_asymbolic data analysis _96402 |
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650 |
_aoffical statistical data _96403 |
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653 | _aSODAS software | ||
856 |
_uhttps://www.springer.com/gp/book/9783540666196 _yPublisher's website |
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_cANTH _2ddc |