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Title: Adjusting the Stems Regional Forest Growth Model to Improve Local Predictions
Author: Smith, W. Brad;
Source: Research Note NC-297. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station
Publication Series: Research Note (RN)
Description: A simple procedure using double sampling is described for adjusting growth in the STEMS regional forest growth model to compensate for subregional variations. Predictive accuracy of the STEMS model (a distance-independent, individual tree growth model for Lake States forests) was improved by using this procedure
Keywords: Growth model, double sampling, ratio estimators
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Smith, W. Brad 1983. Adjusting the Stems Regional Forest Growth Model to Improve Local Predictions. Research Note NC-297. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station
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