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

Front Cover
Hans-Hermann Bock, Edwin Diday
Springer Science & Business Media, Dec 6, 2012 - Mathematics - 425 pages
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.
 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

The Classical Data Situation
24
Symbolic Data
39
Symbolic Objects
54
Generation of Symbolic Objects from Relational Databases
78
Descriptive Statistics for Symbolic Data
106
Visualizing and Editing Symbolic Objects
125
Similarity and Dissimilarity
139
Symbolic Factor Analysis
198
Assigning Symbolic Objects to Classes
234
Clustering Methods for Symbolic Objects
294
Symbolic Approaches for Threeway Data
342
Illustrative Benchmark Analyses
355
The SODAS Software Package
386
Notations and Abbreviations
392
Addresses of Contributors to this Volume
414
Copyright

Other editions - View all

Common terms and phrases

Bibliographic information