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

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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: December 1, 1984

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