Merchantability of Loblolly Pine--An Application of Nonlinear Regression with a Discrete Dependent Variable

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A model to predict the probability of merchantability for an individual loblolly pine tree is developed. The model would be a useful addition to diameter distribution-based yield models. As the dependent variable is discrete and bounded by [0, 1], the model is constrained to yield predictions in this interval. Graphical techniques were used to screen potential independent variables, and maximum likelihood was used to estimate the model parameters. Forest Sci. 32:254-261.

Keywords: Pinus taeda; maximum likelihood estimation; nonlinear modeling; selection of independent variables

Document Type: Journal Article

Affiliations: Associate Professor of Statistics, VPI and SU, Blacksburg, VA, 24061

Publication date: March 1, 1986

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