Convolution type estimators for nonparametric regression

DOI10.1016/0167-7152(88)90056-9zbMath0662.62039OpenAlexW2071307078MaRDI QIDQ1113583

Y. P. Mack, Hans-Georg Müller

Publication date: 1988

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-7152(88)90056-9

zbMATH Keywords

order statisticsderivativesconcomitantsPriestley-Chao estimatorasymptotic mean squared errorfixed design regression modelConvolution type kernel estimatorsquotient type Nadaraya-Watson kernel estimatorsrandom design case

Mathematics Subject Classification ID

Nonparametric estimation (62G05) General nonlinear regression (62J02)

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Cites Work

• General distribution theory of the concomitants of order statistics
• Nonparametric estimation of a regression function
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