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Statistical models for globular cluster luminosity distribution. (English) Zbl 1414.62515

Hunter, David R. (ed.) et al., Nonparametric statistics and mixture models. A Festschrift in honor Thomas P. Hettmannsperger. Most papers based on the presentations at the conference, University Park, PA, USA, May 23–24, 2008. Hackensack, NJ: World Scientific. 58-68 (2011).
Summary: We consider statistical models that have been proposed for luminosity distributions for the globular clusters in the Milky Way and M31. Although earlier research showed that the cluster luminosity functions in those two galaxies were well fit by Gaussian distributions, subsequent investigations suggested that their luminosities were better fit by \(t\)-, rather than Gaussian, distributions. By applying the Bayesian information criterion, we do not find overwhelming statistical evidence that the t-distribution is superior to the Gaussian distribution as a model of luminosity distribution for the Milky Way. In the case of M31, we find moderate evidence that the Gaussian distribution is superior to the \(t\)-distribution. In neither case do we find strong evidence to support the use of one distribution over the other as a statistical model for the luminosities of the globular clusters in the Milky Way and M31. Consequently, we recommend that the Gaussian be retained as the statistical model for luminosity distribution. Moreover, we urge caution in the use of the Kolmogorov-Smirnov statistic to justify the choice of statistical models for globular cluster luminosity functions.
For the entire collection see [Zbl 1234.62025].

MSC:

62P35 Applications of statistics to physics
62F10 Point estimation
62G10 Nonparametric hypothesis testing
85A35 Statistical astronomy