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Multi-sample tests for axial data from Watson distributions

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Abstract

The Watson distribution is one of the most used distributions for modeling axial data. In some situations, it is important to investigate if several Watson populations differ significantly. In this paper, we develop likelihood ratio tests and the ANOVA for testing the hypothesis of the equality of the directional parameters of several Watson distributions with different concentrations. We also determine the empirical power of the ANOVA and LR tests for some dimensions of the sphere.

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Correspondence to Adelaide Figueiredo.

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Figueiredo, A. Multi-sample tests for axial data from Watson distributions. AStA Adv Stat Anal 93, 371–386 (2009). https://doi.org/10.1007/s10182-009-0114-5

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  • DOI: https://doi.org/10.1007/s10182-009-0114-5

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