Testing goodness-of-fit of parametric spatial Trends

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http://hdl.handle.net/2183/21122Collections
- Investigación (FIC) [1618]
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Testing goodness-of-fit of parametric spatial TrendsDate
2018-09-17Citation
Meilán-Vila, A.; Opsomer, J.; Francisco-Fernández, M.; Crujeiras, R.M. Testing Goodness-of-Fit of Parametric Spatial Trends. Proceedings 2018, 2, 1185.
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.
Keywords
Model checking
Spatial trend
Local linear regression
Least squares
Bootstrap
Spatial trend
Local linear regression
Least squares
Bootstrap
Description
Trátase dun resumo estendido da ponencia
Editor version
Rights
Atribución 3.0 España
ISSN
2504-3900