DWY Time Series Decomposition Model

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F14%3A00073307" target="_blank" >RIV/00216224:14610/14:00073307 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
DWY Time Series Decomposition Model
Original language description
This paper describes a novel approach for time series decomposition suitable for time series with strong dependency on weekly cycle. There are many models of time series description. The most popular are trend + seasonal + cyclic component decompositionand the Box-Jenkins methodology. The big advantage of decomposition models is very intuitive mapping of real world into mathematical model. These models are easily understandable even to common users without deep mathematical background. On the other hand, current decomposition models are not so much suitable for modeling of complex time series with more periodic components and asymmetric behavior during the period. The model proposed in this paper better fits more deep structured time series as it respects the asymmetric behavior of the time series during all of its' periods.
Czech name
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Czech description
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Project
<a href="/en/project/TA01010268" target="_blank" >TA01010268: Maintenance-free PACS system for small and mid-sized healthcare institutions</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
International Conference on Software, Electronics & Industrial Engineering
ISBN
9789384468101
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
27-30
Publisher name
Planetary Scientific Research Centre
Place of publication
Pattaya, Thailand
Event location
Pattaya
Event date
Jan 1, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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