Understanding Data Better with Bayesian and Global Statistical Methods
| dc.creator | Press, William H. | |
| dc.date | 1996-04-22 | |
| dc.date.accessioned | 2026-07-07T02:21:11Z | |
| dc.date.available | 2026-07-07T02:21:11Z | |
| dc.description | To understand their data better, astronomers need to use statistical tools that are more advanced than traditional ``freshman lab'' statistics. As an illustration, the problem of combining apparently incompatible measurements of a quantity is presented from both the traditional, and a more sophisticated Bayesian, perspective. Explicit formulas are given for both treatments. Results are shown for the value of the Hubble Constant, and a 95% confidence interval of 66 < H0 < 82 (km/s/Mpc) is obtained. | |
| dc.description | 14 pages PostScript includes embedded figures. Paper given at Unsolved Problems in Astrophysics conference, Princeton, April 1995 | |
| dc.identifier | https://arxiv.org/abs/astro-ph/9604126 | |
| dc.identifier | http://arxiv.org/abs/astro-ph/9604126 | |
| dc.identifier | in "Unsolved Problems in Astrophysics", Proceedings of Conference in Honor of John Bahcall, J.P. Ostriker, ed. (Princeton: Princeton University Press, 1996 [in press]) | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/10455 | |
| dc.subject | Astrophysics | |
| dc.title | Understanding Data Better with Bayesian and Global Statistical Methods | |
| dc.type | text |