Optimal designs for estimating individual coefficients in polynomial
regression with no intercept
Statistics and Probability Letters (Stat. Probab. Lett.), 2019
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).
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