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Daily Streamflow Prediction Using Multi-State Transition SB-ARIMA-MS-GARCH Model.

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Title: Daily Streamflow Prediction Using Multi-State Transition SB-ARIMA-MS-GARCH Model.
Authors: Zhao, Jin1,2 (AUTHOR), Shang, Jianhui1,2 (AUTHOR), Ye, Qun3 (AUTHOR), Wang, Huimin4 (AUTHOR), Zhang, Gengxi1,4 (AUTHOR), Yao, Feng1,2 (AUTHOR), Shou, Weiwei1,2,3 (AUTHOR) shou_ww1@hdec.com
Source: Water (20734441). Jan2026, Vol. 18 Issue 2, p241. 13p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 191215334
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Daily Streamflow Prediction Using Multi-State Transition SB-ARIMA-MS-GARCH Model.
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      – Type: doi
        Value: 10.3390/w18020241
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 241
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      – TitleFull: Daily Streamflow Prediction Using Multi-State Transition SB-ARIMA-MS-GARCH Model.
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            NameFull: Zhao, Jin
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            NameFull: Ye, Qun
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            – D: 15
              M: 01
              Text: Jan2026
              Type: published
              Y: 2026
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