Nonparametric inference in small data sets of spatially indexed curves with application to ionospheric trend determination

DOI10.1016/j.csda.2012.09.016zbMath1400.62064OpenAlexW2071878707MaRDI QIDQ1621207

Oleksandr Gromenko, Piotr S. Kokoszka

Publication date: 8 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2012.09.016

zbMATH Keywords

spatial statisticsnonparametric inferencefunctional dataionospherelong-term trend

Mathematics Subject Classification ID

Related Items (4)

Asynchronous changepoint estimation for spatially correlated functional time series ⋮ Dependent functional data ⋮ A functional data analysis approach for genetic association studies ⋮ Mantel test for spatial functional data. An application to infiltration curves

Uses Software

• fda (R)

Cites Work

• Inference for functional data with applications
• Estimation and testing for spatially indexed curves with application to ionospheric and magnetic field trends
• Robust resampling confidence intervals for empirical variograms
• Nonstationary covariance models for global data
• Cokriging for spatial functional data
• Properties of nonparametric estimators of autocovariance for stationary random fields
• Trimmed means for functional data
• On the nonparametric estimation of covariance functions
• Functional data analysis.
• Spatial Statistics and Spatio‐Temporal Data
• Functional Data Analysis with R and MATLAB
• Nonseparable, Stationary Covariance Functions for Space–Time Data
• Classes of Nonseparable, Spatio-Temporal Stationary Covariance Functions
• On the Concept of Depth for Functional Data
• Spatio‐temporal smoothing and EM estimation for massive remote‐sensing data sets
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