Orthogonal series regression estimators for an irregularly spaced design

Volume 27 / 2000

Waldemar Popiński Applicationes Mathematicae 27 (2000), 309-318 DOI: 10.4064/am-27-3-309-318

Abstract

Nonparametric orthogonal series regression function estimation is investigated in the case of a fixed point design where the observation points are irregularly spaced in a finite interval [a,b]i ⊂ ℝ. Convergence rates for the integrated mean-square error and pointwise mean-square error are obtained in the case of estimators constructed using the Legendre polynomials and Haar functions for regression functions satisfying the Lipschitz condition.

Authors

  • Waldemar Popiński

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