| contributor author | Hapfelmeier, A. - Ulm, K. | |
| date accessioned | 2020-03-11T15:33:41Z | |
| date available | 2020-03-11T15:33:41Z | |
| date issued | 2013 | |
| identifier issn | 0167-9473 | |
| identifier other | 10.1016-j.csda.2012.09.020.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/578253?show=full | |
| format | general | |
| language | English | |
| publisher | Elsevier Science | |
| title | A new variable selection approach using Random Forests | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 4431405 | |
| subject keywords | Random Forests | |
| subject keywords | Variable selection | |
| subject keywords | Permutation tests | |
| subject keywords | Multiple testing | |
| identifier doi | 10.1016/j.csda.2012.09.020 | |
| journal title | Computational Statistics and Data Analysis | |
| journal volume | 60 | |
| journal issue | 0 | |
| filesize | 899849 | |
| citations | 0 | |
