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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 decomposition and 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.
  • 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 decomposition and 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. (en)
Title
  • DWY Time Series Decomposition Model
  • DWY Time Series Decomposition Model (en)
skos:prefLabel
  • DWY Time Series Decomposition Model
  • DWY Time Series Decomposition Model (en)
skos:notation
  • RIV/00216224:14610/14:00073307!RIV15-TA0-14610___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(TA01010268)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 12625
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14610/14:00073307
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • time series; weekly cyccle; calendar dependency (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [6982FB277BFA]
http://linked.open...v/mistoKonaniAkce
  • Pattaya
http://linked.open...i/riv/mistoVydani
  • Pattaya, Thailand
http://linked.open...i/riv/nazevZdroje
  • International Conference on Software, Electronics & Industrial Engineering
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Dostál, Otto
  • Slavíček, Karel
  • Schindler, Vladimír
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Planetary Scientific Research Centre
https://schema.org/isbn
  • 9789384468101
http://localhost/t...ganizacniJednotka
  • 14610
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