Analysis of Symbolic Data | Exploratory Methods for Extracting Statistical Information from Complex Data

Edwin Diday (u. a.)

ISBN 10: 3540666192 / ISBN 13: 9783540666196

Published by Springer Vieweg, 1999

About this Item

Analysis of Symbolic Data | Exploratory Methods for Extracting Statistical Information from Complex Data | Edwin Diday (u. a.) | Taschenbuch | xviii | Englisch | 1999 | Springer Vieweg | EAN 9783540666196 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Seller Inventory # 102024326

Bibliographic Details

• Title: Analysis of Symbolic Data | Exploratory Methods for Extracting Statistical Information from Complex Data
• Publisher: Springer Vieweg
• Publication Date: 1999
• Language: English
• ISBN 10: 3540666192
• ISBN 13: 9783540666196
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 242W x 170H x 25D millimeters 242 millimeters width by 170 millimeters height by 25 millimeters depth
• Weight: 761 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Raymond 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.