Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data (Record no. 1638)

000 -LEADER
fixed length control field 02000nam a2200289Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field DE-boiza
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200114135232.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191008
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 3-540-66619-2
040 ## - CATALOGING SOURCE
Transcribing agency IZA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Bock, Hans Hermann
9 (RLIN) 4465
Titles and words associated with a name (ed.)
Personal name Diday, Edwin
9 (RLIN) 4467
Titles and words associated with a name (ed.)
245 #0 - TITLE STATEMENT
Title Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2000
Name of publisher, distributor, etc. Springer,
Place of publication, distribution, etc. Berlin et al.,
300 ## - PHYSICAL DESCRIPTION
Extent 425 pages
340 ## - PHYSICAL MEDIUM
Location within medium C4 20
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Studies in Classification, Data Analysis, and Knowledge Organization
9 (RLIN) 5513
520 ## - SUMMARY, ETC.
Summary, etc. 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element statistical analysis
9 (RLIN) 959
Topical term or geographic name entry element statistical software
9 (RLIN) 5624
Topical term or geographic name entry element relational databases
9 (RLIN) 6401
Topical term or geographic name entry element symbolic data analysis
9 (RLIN) 6402
Topical term or geographic name entry element offical statistical data
9 (RLIN) 6403
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term SODAS software
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://www.springer.com/gp/book/9783540666196">https://www.springer.com/gp/book/9783540666196</a>
Link text Publisher's website
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Anthology
Source of classification or shelving scheme
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Date acquired Full call number Barcode Date last seen Price effective from Koha item type
          Library Library 2019-10-08 C4 20 46220 2019-10-08 2019-10-08 Anthology
Deutsche Post Stiftung
 
Istitute of Labor Economics
 
Institute for Environment & Sustainability
 

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