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  • Xie, Y. (author)

Inland Waterborne Commerce Study Based on Variance Decomposition and Cross-Spectral Analysis

  • Article/chapterEnglish2021

Publisher, publication year, extent ...

  • 2021-07-21
  • Cham :Springer Nature,2021
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:kth-311192
  • https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-311192URI
  • https://doi.org/10.1007/978-3-030-80475-6_2DOI

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  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:kap swepub-publicationtype

Notes

  • QC 20220427
  • Much research has focused on the prediction field; however, few are concerned about the detail between forecasting and influence factors. It is an important area to help decision-makers decide in time. River and relevant factors were studied utilizing variance decomposition and cross-spectral analysis. The results show that there is an inflection point between the shipping volume and the related variables. After passing a high-speed development period, the inland shipping volume will enter a stable period of fluctuation, and the correlation with other variables will gradually decrease. The amplitude spectrum verifies the degree of influence; the cross-spectral analyzed each variable is driving relationship; the phase spectrum shows the shipping volume and the time required for effecting.

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  • Zhang, P. (author)
  • Wang, YongKTH,Industriell produktion,Processer(Swepub:kth)u1msab4o (author)
  • KTHIndustriell produktion (creator_code:org_t)

Related titles

  • In:Lecture Notes on Data Engineering and Communications TechnologiesCham : Springer Nature, s. 13-22

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By the author/editor
Xie, Y.
Zhang, P.
Wang, Yong
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NATURAL SCIENCES
NATURAL SCIENCES
and Mathematics
and Probability Theo ...
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Royal Institute of Technology

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