A Compatible System of Growth and Yield Equations for Slash Pine Fitted with Restricted Three-Stage Least Squares
Abstract:A system of compatible and interrelating equations (after Clutter 1963) was developed to predict growth and yield in volume, basal area, and dominant height for site-prepared slash pine plantations in the Southeast. Because of logical restrictions on certain parameters and contemporaneous correlations among the variables, the usual unrestricted least squares approach to fitting equations is not appropriate for such a system. The wealth of developments in econometrics for fitting such systems of interrelating equations was reviewed and tested, and restricted three-stage least squares gave the best results. Measures of goodness of fit and precision are nearly as good with restricted three-stage least squares for this system and data as with the conventional unrestricted least squares approach. Methods for placing confidence limits on predicted yields are demonstrated. Forest Sci. 32:185-201.
Document Type: Journal Article
Affiliations: Professor of Forest Biometrics, School of Forest Resources, University of Georgia, Athens, GA 30602
Publication date: 1986-03-01
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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.
2015 Impact Factor: 1.702
Ranking: 16 of 66 in forestry
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