Nonparametric hypothesis testing for equality of means on the simplex

Tsagris, Michail and Preston, Simon and T.A. Wood, Andrew (2016): Nonparametric hypothesis testing for equality of means on the simplex. Forthcoming in: Journal of Statistical Computation and Simulation No. This is a preprin of the accepted version (2016)

Abstract

In the context of data that lie on the simplex, we investigate use of empirical and exponential empirical likelihood, and Hotelling and James statistics, to test the null hypothesis of equal population means based on two independent samples. We perform an extensive numerical study using data simulated from various distributions on the simplex. The results, taken together with practical considerations regarding implementation, support the use of bootstrap-calibrated James statistic.

• Item Type: MPRA Paper
• Language: English
• Keywords: Compositional data, hypothesis testing, Hotelling test, James test, non parametric, empirical likelihood, bootstrap
• Subjects: C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General

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