Kriging with Nonparametric Variance Function Estimation

DOI10.1111/j.0006-341X.1999.00704.xzbMath1059.62746WikidataQ52930676 ScholiaQ52930676MaRDI QIDQ4666633

David Ruppert, Ulla Holst, Jean D. Opsomer, Matthew P. Wand, Ola G. Hössjer

Publication date: 13 April 2005

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

local linear estimationheteroskedasticitymetamodelspatial correlationrunoff modeling

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Nonparametric regression and quantile regression (62G08) Applications of statistics to environmental and related topics (62P12)

Related Items

GMM estimation in partial linear models with endogenous covariates causing an over-identified problem, Variance function estimation in regression model via aggregation procedures, Stochastic intrinsic Kriging for simulation metamodeling, Variance estimation in nonparametric regression via the difference sequence method, Practical Heteroscedastic Gaussian Process Modeling for Large Simulation Experiments

Cites Work

• Matrix Analysis
• Local Polynomial Variance-Function Estimation
• Empirical-Bias Bandwidths for Local Polynomial Nonparametric Regression and Density Estimation