Natural Resources Biometrics / Dr. Diane Kiernan. nm
Material type:
TextGeneseo : Open SUNY Textbooks, ©2014Description: 1 online resource (vi, 251pages) : illustrations (some colour)Content type: text Media type: computer Carrier type: online resourceSubject(s): Biometrics -- Natural resourcesOnline resources: Sunny open textbooks connect to resource Summary: Natural 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.
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
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eBook
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Available |
Natural 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.
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