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Kernel smoothers and bootstrapping for semiparametric mixed effects models

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Publication:1931869
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DOI10.1016/j.jmva.2012.08.005zbMath1255.62115OpenAlexW2055866497MaRDI QIDQ1931869

María José Lombardía, Stefan Sperlich, Wenceslao González Manteiga, María Dolores Martínez Miranda

Publication date: 16 January 2013

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2012.08.005


zbMATH Keywords

bootstrap inferencebandwidth choicesmall area statisticsnon- and semiparametric models


Mathematics Subject Classification ID

Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).


Related Items (4)

Further theoretical and practical insight to the do-validated bandwidth selector ⋮ On multivariate associated kernels to estimate general density functions ⋮ Modeling heterogeneity: a praise for varying-coefficient models in causal analysis ⋮ Comments on: Model-free model-fitting and predictive distributions




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