Exploring the Regional Czech Household Income Dynamics Regression Mixtures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F11%3A00056752" target="_blank" >RIV/00216224:14310/11:00056752 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Exploring the Regional Czech Household Income Dynamics Regression Mixtures
Original language description
Model-based cluster analysis is popular methods for grouping observations into unobserved segments. The article deals with cluster analysis of household income dynamics based on the results of statistical survey EU SILC 2005-2008. In this paper we address the problem of clustering sets of trajectory data generated by households in different regions. The focus is to model curve data directly using a set of model-based curve clustering algorithms referred to as mixtures of regressions or regression mixtures. The R environment (R Development Core Team, 2010) is used for mixture model analysis.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Aplimat - Journal of Applied Mathematics
ISSN
1337-6365
e-ISSN
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Volume of the periodical
4(2011)
Issue of the periodical within the volume
3
Country of publishing house
SK - SLOVAKIA
Number of pages
11
Pages from-to
261-271
UT code for WoS article
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EID of the result in the Scopus database
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