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Prediction from an integrated regression equation: a forestry application
T G Gregoire1, O Schabenberger, F Kong
1School of Forestry and Environmental Studies, Yale University, New Haven, Connecticut 06511-2189, USA. Timothy.Gregoire@Yale.edu
Abstract:
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.
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