On adaptive estimation in orthogonal saturated designs

被引：0
|
作者：
Wang, WZ [1 ]
Voss, DT [1 ]
机构：
[1] Wright State Univ, Dept Math & Stat, Dayton, OH 45435 USA
来源：
STATISTICA SINICA | 2003年 / 13卷 / 03期
关键词：
effect sparsity; factorial design; minimum function; symmetric unimodal distribution;
D O I：
暂无
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
A simple method is provided to construct a general class of individual and simultaneous confidence intervals for the effects in orthogonal saturated designs. These intervals use the data adaptively, maintain the confidence levels sharply at 1 - alpha at the least favorable parameter configuration, work effectively under effect sparsity, and include the intervals by Wang and Voss (2001) as a special case.
引用
收藏
页码：727 / 737
页数：11
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