%0 Report %1 oppel_alternative_2009 %A Oppel, Steffen %A Strobl, Carolin %A Huettmann, Falk %C Munich %D 2009 %K Forest, High Learning, Machine Random correlations, data, dimensional false importance multicollinearity, positive, variable %N 65 %P 6 %T Alternative methods to quantify variable importance in ecology %U http://www.stat.uni-muenchen.de

@techreport{oppel_alternative_2009, added-at = {2017-01-09T13:57:26.000+0100}, address = {Munich}, author = {Oppel, Steffen and Strobl, Carolin and Huettmann, Falk}, biburl = {https://www.bibsonomy.org/bibtex/2b0fe8bf3a4d9723687b8b514be970833/yourwelcome}, institution = {Department of Statistics, Ludwig-Maximilians-Universität}, interhash = {fb96dc02a50ef81b4b5b62f1b22a8a1e}, intrahash = {b0fe8bf3a4d9723687b8b514be970833}, keywords = {Forest, High Learning, Machine Random correlations, data, dimensional false importance multicollinearity, positive, variable}, number = 65, pages = 6, timestamp = {2017-01-09T14:01:11.000+0100}, title = {Alternative methods to quantify variable importance in ecology}, type = {Technical {Report}}, url = {http://www.stat.uni-muenchen.de}, urldate = {2013-06-28}, year = 2009 }