A NOTE ON THE DE LA GARZA PHENOMENON FOR LOCALLY OPTIMAL DESIGNS
成果类型:
Article
署名作者:
Dette, Holger; Melas, Viatcheslav B.
署名单位:
Ruhr University Bochum; Saint Petersburg State University
刊物名称:
ANNALS OF STATISTICS
ISSN/ISSBN:
0090-5364
DOI:
10.1214/11-AOS875
发表日期:
2011
页码:
1266-1281
关键词:
rational models
摘要:
The celebrated de la Garza phenomenon states that for a polynomial regression model of degree p - 1 any optimal design can be based on at most p design points. In a remarkable paper, Yang [Ann. Statist. 38 (2010) 2499 - 2524] showed that this phenomenon exists in many locally optimal design problems for nonlinear models. In the present note, we present a different view point on these findings using results about moment theory and Chebyshev systems. In particular, we show that this phenomenon occurs in an even larger class of models than considered so far.