A-Optimal and MV-Optimal Incomplete Block Designs for Comparing Successive Treatments

被引：1

作者：

Spurrier, John ^{[1
]}

机构：

[1] Univ S Carolina, Dept Stat, Columbia, SC 29208 USA

来源：

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2008年 / 37卷 / 10期

关键词：

Best linear unbiased estimator; Comparison with a control; Successive comparison;

D O I：

10.1080/03610910802283297

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：

Consider an incomplete block experiment in which observations are taken from t treatments using an incomplete block design with b blocks of size k < t. Suppose the interest is in estimating the differences of effects of successive treatments. This may occur, for example, if the treatments are different dosages or concentrations of a compound. This article presents A-optimal and MV-optimal incomplete block designs for estimating the the differences of successive treatment effects. Tables of optimal designs are given for k < t <= 5 with b <= 40.

引用

页码：1996 / 2009

页数：14

共 50 条

[1] SOME MV-OPTIMAL BLOCK-DESIGNS FOR COMPARING TEST TREATMENTS WITH A STANDARD TREATMENT
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