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Prediction from an Integrated Regression Equation: A Forestry Application
- Source :
- Biometrics. 56:414-419
- Publication Year :
- 2000
- Publisher :
- Wiley, 2000.
-
Abstract
- Summary. Models to depict the tapering of a tree bole abound in the literature of forest science, and such models are widely used in forestry practice. One important use is the integration of a taper equation to predict the volume of the tree bole. The statistical properties of volume prediction from an integrated taper equation have been obscure. Based on the statistical characteristics of a taper model for the bole's cross-sectional area, we derive the first two moments of the volume predictor and the prediction error. Bias from the integration is nil. The importance of a reasonable model of the error structure is demonstrated.
- Subjects :
- Statistics and Probability
Biometry
Models, Statistical
General Immunology and Microbiology
Mathematical model
Applied Mathematics
Mean squared prediction error
Forestry
Tapering
Regression analysis
General Medicine
General Biochemistry, Genetics and Molecular Biology
Trees
Tree (data structure)
Cycadopsida
Volume determination
Statistics
Regression Analysis
Statistical analysis
General Agricultural and Biological Sciences
Mathematics
Volume (compression)
Subjects
Details
- ISSN :
- 0006341X
- Volume :
- 56
- Database :
- OpenAIRE
- Journal :
- Biometrics
- Accession number :
- edsair.doi.dedup.....8abcc3f36c89015cabea69a5b0230e28
- Full Text :
- https://doi.org/10.1111/j.0006-341x.2000.00414.x