The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform

Darrin Speegle - One of the best experts on this subject based on the ideXlab platform.

Marcin Bownik - One of the best experts on this subject based on the ideXlab platform.

Jose M C Pereira - One of the best experts on this subject based on the ideXlab platform.

  • a test for directional Linear Independence with applications to wildfire orientation and size
    Stochastic Environmental Research and Risk Assessment, 2014
    Co-Authors: Eduardo Garciaportugues, Ana M G Barros, Rosa M Crujeiras, Wenceslao Gonzalezmanteiga, Jose M C Pereira
    Abstract:

    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.

  • a test for directional Linear Independence with applications to wildfire orientation and size
    arXiv: Methodology, 2013
    Co-Authors: Eduardo Garciaportugues, Ana M G Barros, Rosa M Crujeiras, Wenceslao Gonzalezmanteiga, Jose M C Pereira
    Abstract:

    The relation between wildfire orientation and size is analyzed by means of a nonparametric test for directional-Linear Independence. The test statistic is designed for assessing the Independence between two random variables of different nature, specifically directional (fire orientation, circular or spherical, as particular cases) and Linear (fire size measured as burnt area, scalar), based on a directional-Linear nonparametric kernel density estimator. In order to apply the proposed methodology in practice, a resampling procedure based on permutations and bootstrap is provided. The finite sample performance of the test is assessed by a simulation study, comparing its behavior with other classical tests for the circular-Linear case. Finally, the test is applied to analyze wildfire data from Portugal.

Giancarlo Sangalli - One of the best experts on this subject based on the ideXlab platform.

Annalisa Buffa - One of the best experts on this subject based on the ideXlab platform.