A simple permutation-type method for testing circular uniformity with correlated angular measurements |
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| Authors: | Follmann D A Proschan M A |
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| Affiliation: | Office of Biostatistics Research, National Heart, Lung, and Blood Institute, Bethesda, Maryland 20892-7938, USA. follmann@helix.nih.gov |
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| Abstract: | A simple method is provided for testing uniformity on the circle that allows dependence among repeated angular measurements on the same subject. Our null hypothesis is that the distribution of repeated angles is unaffected by rotation. This null can be evaluated with any test of uniformity by using a null reference distribution obtained by simulation, where each subject's vector of angles is rotated by a random amount. A new weighted version of the univariate Rayleigh test of circular uniformity is proposed. |
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| Keywords: | Ancillary Conditionality principle Directional data Kuiper test Rayleigh test |
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