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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: 1986-03-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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