Sökning: (WFRF:(Zhang Yong)) mspu:(chapter)
> (2021) >
Inland Waterborne C...
Inland Waterborne Commerce Study Based on Variance Decomposition and Cross-Spectral Analysis
- Artikel/kapitelEngelska2021
Förlag, utgivningsår, omfång ...
-
2021-07-21
-
Cham :Springer Nature,2021
-
printrdacarrier
Nummerbeteckningar
-
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
Kompletterande språkuppgifter
-
Språk:engelska
-
Sammanfattning på:engelska
Ingår i deldatabas
Klassifikation
-
Ämneskategori:ref swepub-contenttype
-
Ämneskategori:kap swepub-publicationtype
Anmärkningar
-
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.
Ämnesord och genrebeteckningar
Biuppslag (personer, institutioner, konferenser, titlar ...)
-
Zhang, P.
(författare)
-
Wang, YongKTH,Industriell produktion,Processer(Swepub:kth)u1msab4o
(författare)
-
KTHIndustriell produktion
(creator_code:org_t)
Sammanhörande titlar
-
Ingår i:Lecture Notes on Data Engineering and Communications TechnologiesCham : Springer Nature, s. 13-22
Internetlänk
Hitta via bibliotek
Till lärosätets databas