Chi-square versus median statistics in SNIa data analysis

Abstract

In this paper we compare the performances of the chi-square and median likelihood analysis in the determination of cosmological constraints using type Ia supernovae data. We perform a statistical analysis using the 307 supernovae of the Union 2 compilation of the Supernova Cosmology Project and find that the chi-square statistical analysis yields tighter cosmological constraints than the median statistic if only supernovae data is taken into account. We also show that when additional measurements from the Cosmic Microwave Background and Baryonic Acoustic Oscillations are considered, the combined cosmological constraints are not strongly dependent on whether one applies the chi-square statistic or the median statistic to the supernovae data. This indicates that, when complementary information from other cosmological probes is taken into account, the performances of the chi-square and median statistics are very similar, demonstrating the robustness of the statistical analysis.

6 pages, 8 figures

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Cited by in corpus (5)

• Holographic Dark Energy
• The impact of a new median statistics $H_0$ prior on the evidence for dark radiation
• Median statistics estimates of Hubble and Newton's Constant
• Median statistics cosmological parameter values
• Forecasting cosmological parameter constraints from near-future space-based galaxy surveys