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_aCUZ _cCUZ _erda |
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| 100 | 1 | _aKiernan, Diane | |
| 245 | 1 | 0 |
_aNatural Resources Biometrics / _cDr. Diane Kiernan. _bnm |
| 264 |
_aGeneseo : _bOpen SUNY Textbooks, _c©2014. |
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| 300 |
_a1 online resource (vi, 251pages) : _billustrations (some colour) |
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| 336 |
_2rdacontent _atext |
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| 337 |
_2rdamedia _acomputer |
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_2rdacarrier _aonline resource |
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| 520 | _aNatural Resources Biometrics begins with a review of descriptive statistics, estimation, and hypothesis testing. The following chapters cover one- and two-way analysis of variance (ANOVA), including multiple comparison methods and interaction assessment, with a strong emphasis on application and interpretation. Simple and multiple linear regressions in a natural resource setting are covered in the next chapters, focusing on correlation, model fitting, residual analysis, and confidence and prediction intervals. The final chapters cover growth and yield models, volume and biomass equations, site index curves, competition indices, importance values, and measures of species diversity, association, and community similarity. | ||
| 650 |
_aBiometrics _vNatural resources. |
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| 856 |
_3Sunny open textbooks _uhttps://textbooks.opensuny.org/natural-resources-biometrics/ _zconnect to resource |
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_2lcc _cEBOOK |
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