Optimal designs for nonparametric kernel regression
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Publication:1060797
DOI10.1016/0167-7152(84)90066-XzbMath0569.62065MaRDI QIDQ1060797
Publication date: 1984
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
integrated mean squared errorasymptotically optimal designsdesign densityfixed design regression modelkernel estimates of derivativeslocally varying bandwidthnonrepeatable measurements
Numerical smoothing, curve fitting (65D10) Linear regression; mixed models (62J05) Optimal statistical designs (62K05) Nonparametric estimation (62G05)
Related Items (16)
A sequential-design metamodeling strategy for simulation optimization ⋮ Experimental Design for (Semi-)Local Regression ⋮ Optimal designs for nonparametric estimation of zeros of regression functions ⋮ Optimal design for local fitting ⋮ Wavelet designs for estimating nonparametric curves with heteroscedastic error ⋮ Optimal experimental design and some related control problems ⋮ Methods of canonical analysis for functional data. ⋮ OPTIMAL DESIGNS FOR SERIES ESTIMATION IN NONPARAMETRIC REGRESSION WITH CORRELATED DATA ⋮ The reproducing kernel Hilbert space approach in nonparametric regression problems with correlated observations ⋮ Trapezoidal rule and sampling designs for the nonparametric estimation of the regression function in models with correlated errors ⋮ Optimal Design in Flexible Models, Including Feed-Forward Networks and Nonparametric Regression ⋮ Sequential design for response curve estimation ⋮ Sequential design for nonparametric inference ⋮ An investigation of the behavior of simulation response surfaces ⋮ Sequential design for local bandwidth response curve estimator ⋮ A new version of the gasser-mueller estimator
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