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Titel
Optimal designs for estimating individual coefficients in polynomial regression with no intercept / Holger Dette, Viatcheslav B. Melas, Petr Shpilev
VerfasserDette, Holger ; Melas, Vjačeslav B. ; Shpilev, Petr
ErschienenDortmund : Universitätsbibliothek Dortmund, June 2019
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Elektronische Ressource
Umfang1 Online-Ressource (11 Seiten)
SerieDiscussion paper ; Nr. 13/2019
URNurn:nbn:de:hbz:6:2-125726 
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Optimal designs for estimating individual coefficients in polynomial regression with no intercept [0.29 mb]
Zusammenfassung

In a seminal paper Studden (1968) characterized c-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 coe cients in a polynomial regression model on the interval [-1; 1] explicitly. In this note we identify the optimal design for estimating the individual coe cients in a polynomial regression model with no intercept (here the regression functions do not form a Chebyshev system).

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