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Circular statistics meets practical limitations: a simulation-based Rao’s spacing test for non-continuous data

Abstract Background For data collected on a circular rather than linear scale, a very common procedure is to test whether the underlying distribution appears to deviate from circular uniformity. Rao’s spacing test is often used to evaluate the support the data offers for the null hypothesis of unifo...

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Detalhes bibliográficos
Main Authors: Lukas Landler, Graeme D. Ruxton, E. Pascal Malkemper
Formato: Artigo
Idioma:Inglês
Publicado em: BMC 2019-05-01
Colecção:Movement Ecology
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Acesso em linha:http://link.springer.com/article/10.1186/s40462-019-0160-x
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