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

页码：727 / 737

页数：11

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