Spatial regression with covariate measurement error: A semiparametric approach

DOI10.1111/biom.12474zbMath1390.62271OpenAlexW2336390940WikidataQ37116226 ScholiaQ37116226MaRDI QIDQ2827174

M.D. Hamidul Huque, Howard D. Bondell, Louise M. Ryan, Raymond J. Carroll

Publication date: 12 October 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4956600

zbMATH Keywords

spatial linear modelregression calibrationpenalized least squaresbivariate smoothinggeoadditive modelssocio-economic indexes for areas

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) General nonlinear regression (62J02)

Related Items

Spatial Linear Regression with Covariate Measurement Errors: Inference and Scalable Computation in a Functional Modeling Approach, Non-Gaussian covariate-dependent spatial measurement error model for analyzing big spatial data

Uses Software

• R
• S-PLUS
• nlme
• SemiPar
• gamair
• MEMSS
• bootstrap
• clusfind

Cites Work

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• nlme
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