A test for directional-linear independence, with applications to wildfire orientation and size

被引：21

作者：

Garcia-Portugues, Eduardo ^{[1
]}

Barros, Ana M. G. ^{[2
]}

Crujeiras, Rosa M. ^{[1
]}

Gonzalez-Manteiga, Wenceslao ^{[1
]}

Pereira, Jose ^{[2
]}

机构：

[1] Univ Santiago de Compostela, Fac Math, Dept Stat & Operat Res, Santiago De Compostela, Spain

[2] Univ Lisbon, Sch Agr, P-1699 Lisbon, Portugal

来源：

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT | 2014年 / 28卷 / 05期

关键词：

Directional data; Directional-linear density; Independence test; Nonparametric estimation; Permutations; Wildfires data; KERNEL DENSITY-ESTIMATION; CIRCULAR CORRELATION-COEFFICIENTS; FOREST-FIRES; LANDSCAPE; PATTERNS; DISTRIBUTIONS; MODELS;

D O I：

10.1007/s00477-013-0819-6

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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.

引用

页码：1261 / 1275

页数：15

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