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ODEHNAL, J. NEUBAUER J., MICHÁLEK, J.
Original Title
Použití neúplných datových souborů ke klasifikaci regionů EU
English Title
Utilization of databases with missing data for classification of the EU regions
Type
journal article - other
Language
Czech
Original Abstract
Použití neúplných datových souborů ke klasifikaci regionů EU. Empirická analýza.
English abstract
The paper deals with the clustering of 202 European NUTS 2 regions into groups with similar values of 22 economic variables. Data were obtained from the Eurostat Regional Yearbook 2007 and from the database Regional Statistics and they contain high number of missing values. The data analysis is primarily focused on filling missing values. Three methods for filling missing values were used and compared: filling by average, by median and by ZET algorithm described in [22]. The results of clustering are described by tables and by dendrogram. Further the comparison of the classification results with regard to the method of handling with missing data was performed. The conclusion is that the ZET algorithm is the suitable statistical technique for filling missing data in cosidered data files.
Keywords
chbějící data, ZET algoritmus, konkurenceschopnost, klasifikace regionů EU
Key words in English
missing data, ZET algorithm, competitiveness, NUTS classification of EU regions
Authors
RIV year
2009
Released
4. 5. 2009
Publisher
Český statistický úřad
Location
Praha
ISBN
0322-788X
Periodical
Statistika
Year of study
Number
5
State
Czech Republic
Pages from
446
Pages to
461
Pages count
16
BibTex
@article{BUT48217, author="Jaroslav {Michálek}", title="Použití neúplných datových souborů ke klasifikaci regionů EU", journal="Statistika", year="2009", volume="2009", number="5", pages="446--461", issn="0322-788X" }