NONPARAMETRIC ESTIMATION OF THE VARIANCE OF SAMPLE MEANS BASED ON NONSTATIONARY SPATIAL DATA

DOI10.1081/STA-120014912zbMath1075.62563MaRDI QIDQ4449078

Magnus Ekström

Publication date: 4 February 2004

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

zbMATH Keywords

ResamplingEstimation of varianceSpatially indexed data

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Inference from spatial processes (62M30) Nonparametric estimation (62G05)

Related Items (3)

Asymptotic bias of GMM and GEL under possible nonstationary spatial dependence ⋮ Subsampling Variance Estimation for Non‐stationary Spatial Lattice Data ⋮ Bootstrapping an inhomogeneous point process

Cites Work

• Unnamed Item
• The use of subseries values for estimating the variance of a general statistic from a stationary sequence
• Bootstrap procedures under some non-i.i.d. models
• Nonparametric resampling for homogeneous strong mixing random fields
• Resampling m-Dependent Random Variables with Applications to Forecasting
• Nonparametric Estimation of the Moments of a General Statistic Computed from Spatial Data
• Data-Based Choice of Batch Size for Simulation Output Analysis
• On blocking rules for the bootstrap with dependent data

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