A comparison of approaches for valid variogram achievement

DOI10.1007/BF02741319zbMath1087.62104OpenAlexW2066495124MaRDI QIDQ2488430

Manuel Febrero-Bande, Raquel Menezes, Pilar H. García-Soidán

Publication date: 24 May 2006

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02741319

zbMATH Keywords

spatial processNadaraya-Watson estimatestationary isotropic random fieldempirical variogramCressie-Hawkins robust estimate

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Random fields; image analysis (62M40) Density estimation (62G07) Nonparametric estimation (62G05)

Related Items (3)

A power-law exponential model for variograms with quick transition and known range: construction and application to geostatistical time series ⋮ A Kernel Variogram Estimator for Clustered Data ⋮ A comparison of sampling grids, cut-off distance and type of residuals in parametric variogram estimation

Uses Software

• geoR

Cites Work

• Nonparametric kernel regression estimation near endpoints.
• Nonparametric kernel estimation of an isotropic variogram.
• Exploring a valid model for the variogram of an isotropic spatial process
• Variogram fitting with a general class of conditionally nonnegative definite functions
• Statistics for Spatial Data
• Highly robust variogram estimation
• Variogram fitting by generalized least squares using an explicit formula for the covariance structure

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