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 -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 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}
}