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

Xie, Y. (author)
Zhang, P. (author)
Wang, Yong (author)
KTH,Industriell produktion,Processer
 (creator_code:org_t)
2021-07-21
2021
English.
In: Lecture Notes on Data Engineering and Communications Technologies. - Cham : Springer Nature. ; , s. 13-22
  • Book chapter (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

NATURVETENSKAP  -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
NATURAL SCIENCES  -- Mathematics -- Probability Theory and Statistics (hsv//eng)

Keyword

Cross-spectrum analysis
Shipping volume
The inflection point of shipping volume
Transportation economy
Variance decomposition
Decision making
Spectrum analysis
Amplitude spectra
Cross-spectral analysis
Decision makers
Inflection points
Inland shippings
Related variables
Ships

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Xie, Y.
Zhang, P.
Wang, Yong
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NATURAL SCIENCES
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Royal Institute of Technology

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