A new test for the multivariate two-sample problem based on the concept of minimum energy
| dc.creator | Zech, Guenter | |
| dc.creator | Aslan, Berkan | |
| dc.date | 2003-09-09 | |
| dc.date.accessioned | 2026-07-07T05:00:59Z | |
| dc.date.available | 2026-07-07T05:00:59Z | |
| dc.description | We introduce a new statistical quantity the energy to test whether two samples originate from the same distributions. The energy is a simple logarithmic function of the distances of the observations in the variate space. The distribution of the test statistic is determined by a resampling method. The power of the energy test in one dimension was studied for a variety of different test samples and compared to several nonparametric tests. In two and four dimensions a comparison was performed with the Friedman-Rafsky and nearest neighbor tests. The two-sample energy test was shown to be especially powerful in multidimensional applications. | |
| dc.description | 13 pages, 8 tables | |
| dc.identifier | https://arxiv.org/abs/math/0309164 | |
| dc.identifier | http://arxiv.org/abs/math/0309164 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/68520 | |
| dc.subject | Probability | |
| dc.title | A new test for the multivariate two-sample problem based on the concept of minimum energy | |
| dc.type | text |