Goodness-of-fit for a concentrated von Mises-Fisher distribution.
Goodness-of-fit for a concentrated von Mises-Fisher distribution.
dc.contributor.author | Adelaide Figueiredo | en |
dc.date.accessioned | 2018-01-19T18:01:47Z | |
dc.date.available | 2018-01-19T18:01:47Z | |
dc.date.issued | 2012 | en |
dc.description.abstract | The von Mises-Fisher distribution is widely used for modelling directional data. In this paper we propose goodness-of-fit methods for a concentrated von Mises-Fisher distribution and we analyse by simulation some questions concerning the application of these tests. We analyse the empirical power of the Kolmogorov- Smirnov test for several dimensions of the sphere, supposing as alternative hypothesis a mixture of two von Mises-Fisher distributions with known parameters.We also compare the empirical power of the Kolmogorov-Smirnov test with the Rao's score test for data on the sphere, supposing as alternative hypothesis, a mixture of two Fisher distributions with unknown parameters replaced by their maximum likelihood estimates or a 5-parameter Fisher-Bingham distribution. Finally, we give an example with real spherical data. | en |
dc.identifier.uri | http://repositorio.inesctec.pt/handle/123456789/7139 | |
dc.identifier.uri | http://dx.doi.org/10.1007/s00180-011-0238-4 | en |
dc.language | eng | en |
dc.relation | 5683 | en |
dc.rights | info:eu-repo/semantics/openAccess | en |
dc.title | Goodness-of-fit for a concentrated von Mises-Fisher distribution. | en |
dc.type | article | en |
dc.type | Publication | en |
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