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A Note on E-Optimal Designs for Weighted Polynomial Regression

Holger Dette
The Annals of Statistics
Vol. 21, No. 2 (Jun., 1993), pp. 767-771
Stable URL: http://www.jstor.org/stable/2242260
Page Count: 5
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
A Note on E-Optimal Designs for Weighted Polynomial Regression
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Abstract

In a recent paper Pukelsheim and Studden determined the E-optimal design for the polynomial regression model on the interval [ - 1, 1] where the variances of different observations are assumed to be constant. In this note we show that these results can be generalized for polynomial regression models with non constant variances proportional to specific functions.

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