@article {Li:2002-02-01T00:00:00:0015-749X:47,
author = "Li, F. and Zhang, L. and Davis, C.J.",
title = "Modeling the Joint Distribution of Tree Diameters and Heights by Bivariate Generalized Beta Distribution",
journal = "Forest Science",
volume = "48",
number = "1",
year = "2002-02-01T00:00:00",
abstract = "A bivariate generalized beta distribution (GBD-2) is fit to the joint frequency distribution of tree diameters and heights of 43 Douglas-fir (*Pseudotsuga menziesii* var. *glauca* [Beissn.] Franco) plots in Idaho. The model fitting and performance are compared with the Johnson's S_{BB} distribution using goodness-of-fit χ^{2} tests for the marginal distributions of diameters and heights, a bivariate goodness-of-fit test for the joint distribution of the two variables, and model predictions of tree heights and volumes. We found that the GBD-2 is more flexible and successful than the Johnson's S_{BB} in describing both marginal and joint distributions of tree diameters and heights. On average, the relative bias (%) from the GBD-2 is three times smaller than that from the Johnson's S_{BB} across the 43 plots when the models are used in tree volume prediction. FOR. SCI. 48(1):47–58.",
pages = "47-58",
url = "http://www.ingentaconnect.com/content/saf/fs/2002/00000048/00000001/art00005",
keyword = "forest, bivariate generalized beta distribution, Generalized beta distribution, forest resources, forestry research, natural resources, forestry science, environmental management, Johnson's SBB distribution, forest management, goodness-of-fit test, forestry, natural resource management"
}