Understanding Data Better with Bayesian and Global Statistical Methods

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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.
14 pages PostScript includes embedded figures. Paper given at Unsolved Problems in Astrophysics conference, Princeton, April 1995

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Astrophysics

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http://salesiana.dossiersoluciones.com/handle/123456789/10455

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/astro-ph/9604126
 http://arxiv.org/abs/astro-ph/9604126
 in "Unsolved Problems in Astrophysics", Proceedings of Conference in Honor of John Bahcall, J.P. Ostriker, ed. (Princeton: Princeton University Press, 1996 [in press])

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arXiv