On two-sided p-values for non-symmetric distributions
| dc.creator | Kulinskaya, Elena | |
| dc.date | 2008-10-12 | |
| dc.date.accessioned | 2026-07-07T10:09:32Z | |
| dc.date.available | 2026-07-07T10:09:32Z | |
| dc.description | Two-sided statistical tests and p-values are well defined only when the test statistic in question has a symmetric distribution. A new two-sided p-value called conditional p-value $P_C$ is introduced here. It is closely related to the doubled p-value and has an intuitive appeal. Its use is advocated for both continuous and discrete distributions. An important advantage of this p-value is that equivalent 1-sided tests are transformed into $P_C$-equivalent 2-sided tests. It is compared to the widely used doubled and minimum likelihood p-values. Examples include the variance test, the binomial and the Fisher's exact test. | |
| dc.description | 20 pages, 4 Postscript figures | |
| dc.identifier | https://arxiv.org/abs/0810.2124 | |
| dc.identifier | http://arxiv.org/abs/0810.2124 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/171349 | |
| dc.subject | Statistics Theory | |
| dc.subject | Methodology | |
| dc.title | On two-sided p-values for non-symmetric distributions | |
| dc.type | text |