Original title: Clustering of random series of events
Translated title: Shluková analýza pro náhodné procesy událostí
Authors: Volf, Petr
Document type: Papers
Conference/Event: Mathematical Methods in Economics 2004 /22./, Brno (CZ), 2004-09-15 / 2004-09-17
Year: 2004
Language: eng
Abstract: [eng] [cze]
The paper deals with the statistical analysis of unemployment data. The data are modeled via a discrete-time version of Poisson process. Cluster analysis is employed for selection of sub-populations with similar development of unemployment in recent years. Inside these clusters, an additional analysis of heterogeneity is performed. Numerical example analyzes certain aspects of unemployment development in the Czech Republic in 1993-1998. Příspěvek statisticky analyzuje vývoj počtu nezaměstnaných jako posloupnost Poissonovských náhodných veličin a pomocí shlukové analýzy hledá skupiny (podle regionu, věku a dalších kovariát) se stejným vývojem. Dále, v každám shluku je ještě provedena analýza heterogenity. Numerický příklad zkoumá data z ČR z let 1993 - 1998
Keywords: analysis of unemployment; cluster analysis; Poisson process
Project no.: CEZ:AV0Z1075907 (CEP), GA402/04/1294 (CEP)
Funding provider: GA ČR
Host item entry: Proceedings of the 22nd International Conference Mathematical Methods in Econometrics 2004, ISBN 80-210-3496-3

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences.
Original record: http://hdl.handle.net/11104/0013523

Permalink: http://www.nusl.cz/ntk/nusl-20082


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Research > Institutes ASCR > Institute of Information Theory and Automation
Conference materials > Papers