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A test for directional-linear independence, with applications to wildfire orientation and size
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Orientador(es)
Resumo(s)
A nonparametric test for assessing the independence
between a directional random variable (circular
or spherical, as particular cases) and a linear one is proposed
in this paper. The statistic is based on the squared
distance between nonparametric kernel density estimates
and its calibration is done by a permutation approach. The
size and power characteristics of various variants of the test
are investigated and compared with those for classical
correlation-based tests of independence in an extensive
simulation study. Finally, the best-performing variant of
the new test is applied in the analysis of the relation
between the orientation and size of Portuguese wildfires
Descrição
Original Paper
Palavras-chave
directional data directional-linear density independence test nonparametric estimation permutations wildfires
Contexto Educativo
Citação
"Stochastic Environmental Research and Risk Assessment". ISSN 1436-3240. 28 (5) (2014) 1261-1275
Editora
Springer