A generalized nonlinear mixed-effects height to crown base model for Mongolian oak in northeast China
• Nonlinear mixed-effects height to crown base model was developed for Mongolian oak. • Tree height, diameter, dominant height, and a specific basal area were selected. • Modelling random effects at block alone led to significant correlation of residual. • Modelling the random effects at both block...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Fu, Liyong [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Umfang: |
10 |
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| Übergeordnetes Werk: |
Enthalten in: A new phenomenological constitutive model for hot tensile deformation behaviors of a typical Al–Cu–Mg alloy - Lin, Y.C. ELSEVIER, 2013, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:384 ; year:2017 ; day:15 ; month:01 ; pages:34-43 ; extent:10 |
| Links: |
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| DOI / URN: |
10.1016/j.foreco.2016.09.012 |
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| 520 | |a • Nonlinear mixed-effects height to crown base model was developed for Mongolian oak. • Tree height, diameter, dominant height, and a specific basal area were selected. • Modelling random effects at block alone led to significant correlation of residual. • Modelling the random effects at both block and plot led to the best performance. • Randomly selecting four trees was recommended to estimate the random effects. | ||
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10.1016/j.foreco.2016.09.012 doi GBV00000000000052A.pica (DE-627)ELV025352237 (ELSEVIER)S0378-1127(16)30559-X DE-627 ger DE-627 rakwb eng 570 630 640 570 DE-600 630 DE-600 640 DE-600 Fu, Liyong verfasserin aut A generalized nonlinear mixed-effects height to crown base model for Mongolian oak in northeast China 2017 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Nonlinear mixed-effects height to crown base model was developed for Mongolian oak. • Tree height, diameter, dominant height, and a specific basal area were selected. • Modelling random effects at block alone led to significant correlation of residual. • Modelling the random effects at both block and plot led to the best performance. • Randomly selecting four trees was recommended to estimate the random effects. Model calibration Elsevier Optimal sample size Elsevier Random effects Elsevier Two-level mixed-effects model Elsevier Heteroscedasticity Elsevier Zhang, Huiru oth Sharma, Ram P. oth Pang, Lifeng oth Wang, Guangxing oth Enthalten in Elsevier Science Lin, Y.C. ELSEVIER A new phenomenological constitutive model for hot tensile deformation behaviors of a typical Al–Cu–Mg alloy 2013 Amsterdam [u.a.] (DE-627)ELV011513292 volume:384 year:2017 day:15 month:01 pages:34-43 extent:10 https://doi.org/10.1016/j.foreco.2016.09.012 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_22 GBV_ILN_40 GBV_ILN_105 AR 384 2017 15 0115 34-43 10 045F 570 |
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A generalized nonlinear mixed-effects height to crown base model for Mongolian oak in northeast China |
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• Nonlinear mixed-effects height to crown base model was developed for Mongolian oak. • Tree height, diameter, dominant height, and a specific basal area were selected. • Modelling random effects at block alone led to significant correlation of residual. • Modelling the random effects at both block and plot led to the best performance. • Randomly selecting four trees was recommended to estimate the random effects. |
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• Nonlinear mixed-effects height to crown base model was developed for Mongolian oak. • Tree height, diameter, dominant height, and a specific basal area were selected. • Modelling random effects at block alone led to significant correlation of residual. • Modelling the random effects at both block and plot led to the best performance. • Randomly selecting four trees was recommended to estimate the random effects. |
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• Nonlinear mixed-effects height to crown base model was developed for Mongolian oak. • Tree height, diameter, dominant height, and a specific basal area were selected. • Modelling random effects at block alone led to significant correlation of residual. • Modelling the random effects at both block and plot led to the best performance. • Randomly selecting four trees was recommended to estimate the random effects. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV025352237</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230623180505.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2017 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.foreco.2016.09.012</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBV00000000000052A.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV025352237</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0378-1127(16)30559-X</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">570</subfield><subfield code="a">630</subfield><subfield code="a">640</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">570</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">630</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">640</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Fu, Liyong</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A generalized nonlinear mixed-effects height to crown base model for Mongolian oak in northeast China</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">10</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• Nonlinear mixed-effects height to crown base model was developed for Mongolian oak. • Tree height, diameter, dominant height, and a specific basal area were selected. • Modelling random effects at block alone led to significant correlation of residual. • Modelling the random effects at both block and plot led to the best performance. • Randomly selecting four trees was recommended to estimate the random effects.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Model calibration</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Optimal sample size</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Random effects</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Two-level mixed-effects model</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Heteroscedasticity</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Huiru</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sharma, Ram P.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pang, Lifeng</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Guangxing</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Lin, Y.C. 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