The estimation of derivatives of a nonparametric regression function when the data are correlated

DOI10.1080/03610928908830025zbMath0696.62181OpenAlexW2067092221MaRDI QIDQ3473170

David B. Holiday

Publication date: 1989

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928908830025

zbMATH Keywords

smoothingmean squared errorrepeated measuresderivativesautocorrelationgrowth curvesGasser-Müller estimator

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items (3)

Near optimal weights in nonparametric regression under some common restrictions ⋮ Some automated methods of smoothing time-dependent data ⋮ Considerations for optimal nonparametric regression under a generalizederror structure

Cites Work

• Kernel Regression Estimation Using Repeated Measurements Data
• Unnamed Item

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