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A Comparison of Approaches for Predicting Multiple-Product Yields from Weight-Scaling Data

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Abstract:

Alternative systems of equations for predicting individual and aggregate product yields from truckload weight-scaling data were developed and tested using data from Champion International's Building Products Division mill at Newberry, South Carolina. The three systems compared were: (a) a multiple-regression system where aggregate yields are predicted first, (b) a recursive system, and (c) a simultaneously interdependent system of equations. Results showed little difference between the three approaches, but the simultaneously interdependent system was slightly superior. Forest Sci. 30:991-998.

Keywords: Simultaneous equations; recursive models; regression analysis; scaling; wood products

Document Type: Journal Article

Affiliations: Technical Services Forester with Champion International Corporation, Greenville, SC 29615

Publication date: 1984-12-01

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

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

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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