English

Optimal designs for estimating individual coefficients in polynomial regression with no intercept

Statistics Theory 2019-06-21 v1 Statistics Theory

Abstract

In a seminal paper \cite{studden1968} characterized cc-optimal designs in regression models, where the regression functions form a Chebyshev system. He used these results to determine the optimal design for estimating the individual coefficients in a polynomial regression model on the interval [1,1][-1,1] explicitly. In this note we identify the optimal design for estimating the individual coefficients in a polynomial regression model with no intercept (here the regression functions do not form a Chebyshev system).

Keywords

Cite

@article{arxiv.1906.08343,
  title  = {Optimal designs for estimating individual coefficients in polynomial regression with no intercept},
  author = {Holger Dette and Viatcheslav B. Melas and Petr Shpilev},
  journal= {arXiv preprint arXiv:1906.08343},
  year   = {2019}
}
R2 v1 2026-06-23T09:58:28.939Z