A NOTE ON E-OPTIMAL DESIGNS FOR WEIGHTED POLYNOMIAL REGRESSION
成果类型：
Article
署名作者：
DETTE, H
刊物名称：
ANNALS OF STATISTICS
ISSN/ISSBN：
0090-5364
DOI：
10.1214/aos/1176349150
发表日期：
1993
页码：
767-771
关键词：
摘要：
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.