Author: Bare B. Bruce Hann David W.
Publisher: Society of American Foresters
ISSN: 0015-749X
Source: Forest Science, Vol.27, Iss.2, 1981-06, pp. : 339-348
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
Describes the use of ridge regression for dealing with multicollinearity in multiple linear regression. Ridge regression is reviewed and three criteria for selecting the "best" ridge estimator--ridge trace, variance inflation factor, and determinant of the correlation matrix--are discussed. The first application demonstrates the use of ridge regression for selecting independent variables during the development of a ponderosa pine basal area growth model. This use of ridge regression produced a meaningful predictive model with interpretable coefficients. The second application uses ridge regression to develop a descriptive model for estimating bare land values in the Douglas-fir region. The objective was to produce precise and stable estimates of model parameters and not to predict the dependent variable. The resulting bare land value estimates fall in the range of values produced by other techniques. Forest Sci. 27:339-348.
Related content
Software: Forestry Database Applications
Journal of Forestry, Vol. 84, Iss. 7, 1986-07 ,pp. :
Forestry Applications in Water Pollution Control
Journal of Forestry, Vol. 65, Iss. 5, 1967-05 ,pp. :
Applications of German Forestry to Conditions in the South
Journal of Forestry, Vol. 33, Iss. 1, 1935-01 ,pp. :
Some Applications of the Canopy Camera in Forestry
By Brown Harry E. Worley David P.
Journal of Forestry, Vol. 63, Iss. 9, 1965-09 ,pp. :