Nonlinearity and Prediction of Air Polution.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F01%3A06010053" target="_blank" >RIV/67985807:_____/01:06010053 - 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
Nonlinearity and Prediction of Air Polution.
Original language description
A presence of nonlinearity in time series of concentrations of air pollutants and in their relations to time series of meteorological variables is tested using information-theoretic functionals and the surrogate data approach. The results are discussed in relation to predictability of the pollutant concentrations aimed to alert smog episodes.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2001
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Artificial Neural Nets and Genetic Algorithms. Proceedings of the International conference.
ISBN
3-211-83651-9
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
473-476
Publisher name
Springer
Place of publication
Wien
Event location
Praha [CZ]
Event date
Apr 22, 2001
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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