Publication Details

Multivariate regression model for partitioning tree volume of white oak into round-product classes

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Yaussy, Daniel A.; Sonderman, David L.

Year Published

1984

Publication

Research Note NE-317. Broomall, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experiment Station. 4p.

Abstract

Describes the development of multivariate equations that predict the expected cubic volume of four round-product classes from independent variables composed of individual tree-quality characteristics. Although the model has limited application at this time, it does demonstrate the feasibility of partitioning total tree cubic volume into round-product classes based on tree-quality characteristics.

Citation

Yaussy, Daniel A.; Sonderman, David L. 1984. Multivariate regression model for partitioning tree volume of white oak into round-product classes. Research Note NE-317. Broomall, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experiment Station. 4p. https://doi.org/10.2737/NE-RN-317.

Last updated on: February 2, 2009