Varying-time random effects models for longitudinal data: unmixing and temporal interpolation of remote-sensing data
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Publication:3532720
DOI10.1080/02664760802061970zbMath1169.62065OpenAlexW2041793292MaRDI QIDQ3532720
Philippe Maisongrande, Robert Faivre, Hervé Cardot
Publication date: 28 October 2008
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664760802061970
splinescovariance functionBLUPdownscalingfunctional databackfittingmixed effectsECMEmixed pixelsSPOT/HRVIRSPOT/VGT
Directional data; spatial statistics (62H11) Inference from spatial processes (62M30) Generalized linear models (logistic models) (62J12) Image analysis in multivariate analysis (62H35)
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- That BLUP is a good thing: The estimation of random effects. With comments and a rejoinder by the author
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