Least squares estimation of nonlinear spatial trends
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Publication:962275
DOI10.1016/j.csda.2009.09.014zbMath1464.62050OpenAlexW1966503734MaRDI QIDQ962275
Rosa M. Crujeiras, Ingrid Van Keilegom
Publication date: 6 April 2010
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2009.09.014
Computational methods for problems pertaining to statistics (62-08) Inference from spatial processes (62M30)
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Cites Work
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- Model-based geostatistics.
- Interpolation of spatial data. Some theory for kriging
- Maximal inequalities for degenerate \(U\)-processes with applications to optimization estimators
- On asymptotic distribution and asymptotic efficiency of least squares estimators of spatial variogram parameters
- A formal test for nonstationarity of spatial stochastic processes
- Nonlinear Regression with Dependent Observations
- Nonlinear Regression with Autocorrelated Errors
- Asymptotic Statistics
- Regression Models with Spatially Correlated Errors
- A General Approach to the Strong Law of Large Numbers
- Variance Estimation in Spatial Regression Using a Non-parametric Semivariogram Based on Residuals
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