Testing distribution in deconvolution problems
| dc.creator | Pommeret, Denys | |
| dc.date | 2009-01-27 | |
| dc.date.accessioned | 2026-07-07T12:34:49Z | |
| dc.date.available | 2026-07-07T12:34:49Z | |
| dc.description | In this paper we consider a random variable $Y$ contamined by an independent additive noise $Z$. We assume that $Z$ has known distribution. Our purpose is to test the distribution of the unobserved random variable $Y$. We propose a data driven statistic based on a development of the density of $Y+Z$, which is valid in the discrete case and in the continuous case. The test is illustrated in both cases. | |
| dc.description | Submitted to the Electronic Journal of Statistics (http://www.i-journals.org/ejs/) by the Institute of Mathematical Statistics (http://www.imstat.org) | |
| dc.identifier | https://arxiv.org/abs/0901.4186 | |
| dc.identifier | http://arxiv.org/abs/0901.4186 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/217572 | |
| dc.subject | Statistics Theory | |
| dc.subject | 62G10 (Primary) 62F05 (Secondary) | |
| dc.title | Testing distribution in deconvolution problems | |
| dc.type | text |