A Closer Look at Errors in Variables Methods for Use in Regression Models with Spatially Misaligned Data

DOI10.1080/03610918.2012.625860zbMath1347.62086OpenAlexW1963768487MaRDI QIDQ4905917

Linda J. Young, Carol A. Gotway, Kenneth K. Lopiano

Publication date: 21 February 2013

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2012.625860

zbMATH Keywords

predictionspatial statisticsgeostatisticserrors in variableslinear regression

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Inference from stochastic processes and prediction (62M20) Linear regression; mixed models (62J05) Applications of statistics to environmental and related topics (62P12) Geostatistics (86A32)

Cites Work

• Unnamed Item
• Linking spatial data from different sources: the effects of change of support
• Statistical Methods for Spatial Data Analysis
• Efficient measurement error correction with spatially misaligned data
• Assessing Uncertainty in Support-Adjusted Spatial Misalignment Problems
• On the change of support problem for spatio-temporal data
• Combining Incompatible Spatial Data
• Measurement Error in Nonlinear Models

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