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Development of data-driven statistical models for daily water table depth prediction and variable selection: Two case studies in coastal plain forested wetlands.

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Title: Development of data-driven statistical models for daily water table depth prediction and variable selection: Two case studies in coastal plain forested wetlands.
Authors: Manna, Alokesh1 (AUTHOR) alokesh.manna@uconn.edu, Mehan, Sushant2 (AUTHOR), Amatya, Devendra M.3 (AUTHOR)
Source: Communications in Statistics: Case Studies & Data Analysis. Apr2026, p1-47. 47p. 12 Illustrations.
Database: Business Source Ultimate
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An: 192807548
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PubType: Academic Journal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=192807548
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/23737484.2026.2630287
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 47
        StartPage: 1
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      – TitleFull: Development of data-driven statistical models for daily water table depth prediction and variable selection: Two case studies in coastal plain forested wetlands.
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            NameFull: Manna, Alokesh
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            NameFull: Mehan, Sushant
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            NameFull: Amatya, Devendra M.
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            – D: 06
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
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            – TitleFull: Communications in Statistics: Case Studies & Data Analysis
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