Resampling non-homogeneous spatial data with smoothly varying mean values

DOI10.1016/S0167-7152(01)00040-2zbMath0982.62057OpenAlexW2090762781MaRDI QIDQ5952106

Sara Sjöstedt-de Luna

Publication date: 7 April 2002

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-7152(01)00040-2

zbMATH Keywords

bootstrapresamplingrandom fieldspatial dataweakly approaching distributions

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Inference from spatial processes (62M30) Bootstrap, jackknife and other resampling methods (62F40) Nonparametric statistical resampling methods (62G09)

Related Items (1)

Bootstrapping an inhomogeneous point process

Uses Software

• bootlib

Cites Work

• Resampling a coverage pattern
• Bootstrap procedures under some non-i.i.d. models
• On Confidence Intervals for Spatial Parameters Estimated from Nonreplicated Data
• On Sample Reuse Methods for Spatial Data
• Weakly approaching sequences of random distributions
• Prediction of Spatial Cumulative Distribution Functions Using Subsampling
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