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

Research output: Contribution to journal › Article › peer-review

Department of Statistical Modeling

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DOI

https://doi.org/10.1016/j.spl.2019.108636

Holger Dette
Viatcheslav B. Melas
Petr V. Shpilev

We identify optimal designs for estimating individual coefficients in a polynomial regression with no intercept. Here the regression functions do not form a Chebyshev system such that the seminal results of Studden (1968) characterizing c-optimal designs are not applicable.

Original language	English
Article number	108636
Number of pages	6
Journal	Statistics and Probability Letters
Volume	158
Early online date	4 Oct 2019
DOIs	https://doi.org/10.1016/j.spl.2019.108636
State	Published - Mar 2020

Scopus subject areas

Statistics and Probability
Statistics, Probability and Uncertainty

Research areas

Polynomial regression, Chebyshev system, c-optimal design, MODELS

ID: 47740517