Polynomial estimation of regression functions with the supremum norm error

DOI10.1214/AOS/1176351043zbMath0671.62047OpenAlexW2070761570MaRDI QIDQ1119310

Václav Fabian

Publication date: 1988

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aos/1176351043

zbMATH Keywords

interpolationpolynomialChebyshev pointssupremum normnon-parametric regressionAnalytic functionsexpandedpiecewise polynomial estimates

Mathematics Subject Classification ID

Optimal statistical designs (62K05) Nonparametric estimation (62G05) Linear inference, regression (62J99) Nonparametric inference (62G99)

Related Items (4)

Stochastic approximation of global minimum points ⋮ Least squares orthogonal polynomial regression estimation for irregular design ⋮ Revisiting the flexibility and regularity properties of the asymptotically ideal production model ⋮ Complete cubic spline estimation of non-parametric regression functions

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