Sun, 06 Jul 2008 02:08:13 BST CiteULike: vrich's multivariate_regression_trees http://www.citeulike.org/user/vrich/tag/multivariate_regression_trees CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/vrich/article/2775833 <i>Biometrics, Vol. 60, No. 2. (2004), pp. 543-549.</i><br /><br />Summary. Multivariate regression tree methodology is developed and illustrated in a study predicting the abundance of several cooccurring plant species in Missouri Ozark forests. The technique is a variation of the approach of Segal (1992) for longitudinal data. It has the potential to be applied to many different types of problems in which analysts want to predict the simultaneous cooccurrence of several dependent variables. Multivariate regression trees can also be used as an alternative to cluster analysis in situations where clusters are defined by a set of independent variables and the researcher wants clusters as homogeneous as possible with respect to a group of dependent variables. Multivariate Regression Trees for Analysis of Abundance Data David Larsen Paul Speckman doi:10.1111/j.0006-341X.2004.00202.x Biometrics, Vol. 60, No. 2. (2004), pp. 543-549. 2008-05-09T13:17:14-00:00 2004 Biometrics 60 2 543 549 multivariate_regression_trees stats http://www.citeulike.org/user/vrich/article/2775813 <i>Ecology</i> MULTIVARIATE REGRESSION TREES: A NEW TECHNIQUE FOR MODELING SPECIES–ENVIRONMENT RELATIONSHIPS Ecology 2008-05-09T13:12:18-00:00 Ecology multivariate_regression_trees stats