Nonparametric regression estimation in models with weak error's structure
Ricardo Fraiman and
Gonzalo Pérez Iribarren
Journal of Multivariate Analysis, 1991, vol. 37, issue 2, 180-196
Abstract:
In this paper we propose nonparametric estimates of the regression function and its derivative when it is only assumed a weak error's structure. We study their local and global asymptotic behaviour when we observe dependent trajectories.
Keywords: nonparametric; regression; models; [alpha]-mixing; processes; locally; weighted; averages (search for similar items in EconPapers)
Date: 1991
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jmvana:v:37:y:1991:i:2:p:180-196
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