Testing Goodness-of-Fit of Parametric Spatial Trends

Proceedings

Crujeiras, Rosa M.¹  Francisco-Fernández, Mario²  Meilán-Vila, Andrea³  Opsomer, Jean⁴ 

[1] Author to whom correspondence should be addressed.;Departamento de Estadística, Análisis Matemático y Optimización, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain;Departamento de Matemáticas, Universidade da Coruña, 15071 A Coruña, Spain;Westat Inc., Rockville, MD 20850, USA

关键词: model checking;    spatial trend;    local linear regression;    least squares;    bootstrap;   

DOI  :  10.3390/proceedings2181185

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY