The Comparative R2 and its Application to Self-Referencing Models
Parole chiave:
R-square, Coefficient of Determination, Fitting curves, Site models, Site IndexAbstract
The traditional coefficient of determination or R-square is the proportion of variation explained by a regression model versus the variation explained by the mean. This measure does not discriminate well between alternative self-referencing models such as site index curves. A generalized R-square based on the proportion of the variation explained by the self-referencing model versus the variation explained by a straight line through zero for each growth series provides better discrimination between candidate models. Three growth series from the South Africa Correlated Curve Trend Study are used to illustrate the difference between the traditional R-square and the generalized R-square.
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Pubblicato
2012-09-30
Fascicolo
Sezione
Mathematical Modeling
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Come citare
The Comparative R2 and its Application to Self-Referencing Models. (2012). Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS), 4(2), Pages: 73-76 (4). https://mcfns.com/index.php/Journal/article/view/4.7
