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EFFICIENCY OF LINEAR REGRESSION ESTIMATORS BASED ON PRESMOOTHING

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Publication:4541785
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DOI10.1081/STA-100106064zbMath1009.62540OpenAlexW2041004818MaRDI QIDQ4541785

Noël Veraverbeke, Paul Janssen, Jan W. H. Swanepoel

Publication date: 28 July 2002

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

Full work available at URL: https://doi.org/10.1081/sta-100106064


Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Linear regression; mixed models (62J05)


Related Items

Model selection in regression based on pre-smoothing



Cites Work

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  • A class of linear regression parameter estimators constructed by nonparametric estimation
  • Multivariate locally weighted least squares regression
  • Smoothing methods in statistics
  • Smooth estimators of distribution and density functions
  • Finite-Sample Variance of Local Polynomials: Analysis and Solutions
  • Smooth optimum kernel estimators near endpoints
  • Optimizing Kernel Methods: A Unifying Variational Principle
  • Hazard Rate Estimation under Random Censoring with Varying Kernels and Bandwidths
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