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Systems of Equations in Forest Stand Modeling

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Growth and yield models are often composed of systems of related equations. Parameter estimation techniques such as two-stage and three-stage least squares have been suggested for fitting such systems. An alternative theoretically sound parameter estimation procedure that can be used for any number of sequentially related equations, linear and nonlinear, is presented and discussed. Implementation of this procedure is illustrated for two systems of equations. For. Sci 35(2):548-556.
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Keywords: Instrumental variables; Zellner estimation; multistage regression

Document Type: Journal Article

Affiliations: Assistant Professor of Forest Biometrics/Management in the School of Forest Resources at the University of Georgia, Athens, Georgia 30602, USA

Publication date: 1989-06-01

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    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.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
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