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Testing goodness-of-fit of parametric spatial Trends

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Andre_Meilán-Vila_2018_Testing_Goodness-of-Fit_of_Parametric_Spatial_Trends.pdf (729.94 KB)

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URI: http://hdl.handle.net/2183/21122
DOI: 10.3390/proceedings2181185

Publication date

2018-09-17

Authors

Opsomer, Jean
Crujeiras-Casais, Rosa M.

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Journal Title

Bibliographic citation

Meilán-Vila, A.; Opsomer, J.; Francisco-Fernández, M.; Crujeiras, R.M. Testing Goodness-of-Fit of Parametric Spatial Trends. Proceedings 2018, 2, 1185.

Type of academic work

Academic degree

Abstract

[Abstract] The aim of this work is to propose and analyze the behavior of a test statistic to assess a parametric trend surface, that is, a regression model with spatially correlated errors. The asymptotic behavior under the null hypothesis, as well as the asymptotic power of the test under local alternatives will be analyzed. Finite sample performance of the test is addressed by simulation, introducing a bootstrap calibration procedure.

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Trátase dun resumo estendido da ponencia

Keywords

Model checking Spatial trend Local linear regression Least squares Bootstrap

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https://doi.org/10.3390/proceedings2181185

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Atribución 3.0 España

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Atribución 3.0 España

Except where otherwise noted, this item's license is described as Atribución 3.0 España