Additional biomass estimation alternatives: nonlinear two- and three-stage least squares and full information maximum likelihood for slash pine.

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Title: Additional biomass estimation alternatives: nonlinear two- and three-stage least squares and full information maximum likelihood for slash pine.
Authors: Zhao, Dehai1 zhaod@uga.edu, Lynch, Thomas B.2 tom.lynch@okstate.edu, Westfall, James A.3, Coulston, John W.4
Source: Canadian Journal of Forest Research. 2022, Vol. 52 Issue 5, p780-793. 14p.
Database: Environment Complete
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DbLabel: Environment Complete
An: 156730765
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PubType: Academic Journal
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  Data: Additional biomass estimation alternatives: nonlinear two- and three-stage least squares and full information maximum likelihood for slash pine.
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  Data: <searchLink fieldCode="JN" term="%22Canadian+Journal+of+Forest+Research%22">Canadian Journal of Forest Research</searchLink>. 2022, Vol. 52 Issue 5, p780-793. 14p.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1139/cjfr-2021-0335
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 780
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      – TitleFull: Additional biomass estimation alternatives: nonlinear two- and three-stage least squares and full information maximum likelihood for slash pine.
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            NameFull: Zhao, Dehai
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            NameFull: Lynch, Thomas B.
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            NameFull: Westfall, James A.
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              Text: 2022
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              Y: 2022
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              Value: 52
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            – TitleFull: Canadian Journal of Forest Research
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