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Estimation of seasonal and annual river flow volume based on temperature and rainfall by multiple linear and Bayesian quantile regressions.

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Title: Estimation of seasonal and annual river flow volume based on temperature and rainfall by multiple linear and Bayesian quantile regressions.
Authors: Modabber-Azizi, Sajjad1, Salarijazi, Meysam1, meysam.salarijazi@gau.ac.ir, Ghorbani, Khalil1
Source: Idöjárás; Oct-Dec2022, Vol. 126 Issue 4, p567-582, 16p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 160725572
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Estimation of seasonal and annual river flow volume based on temperature and rainfall by multiple linear and Bayesian quantile regressions.
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  Data: <searchLink fieldCode="JN" term="%22Idöjárás%22">Idöjárás</searchLink>; Oct-Dec2022, Vol. 126 Issue 4, p567-582, 16p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=160725572
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.28974/idojaras.2022.4.6
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 16
        StartPage: 567
    Titles:
      – TitleFull: Estimation of seasonal and annual river flow volume based on temperature and rainfall by multiple linear and Bayesian quantile regressions.
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            NameFull: Modabber-Azizi, Sajjad
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            NameFull: Salarijazi, Meysam
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            NameFull: Ghorbani, Khalil
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          Dates:
            – D: 01
              M: 10
              Text: Oct-Dec2022
              Type: published
              Y: 2022
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              Value: 126
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              Value: 4
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            – TitleFull: Idöjárás
              Type: main
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