Principal predictors and efficiency in small second-order designs

被引：0
|
作者：
Jensen, DR [1 ]
机构：
[1] Virginia Polytech Inst & State Univ, Dept Stat, Blacksburg, VA 24061 USA
来源：
BIOMETRICAL JOURNAL | 1998年 / 40卷 / 02期
关键词：
design efficiency; Fisher and Pitman efficiencies; measures of influence; principal predictors; deletion and augmentation; small designs;
D O I：
10.1002/(SICI)1521-4036(199806)40:2<183::AID-BIMJ183>3.0.CO;2-N
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Linear parametric functions affected by deleting or augmenting sets of design points are identified explicitly using principal components of the predictive dispersion at those points, offering fresh insight and significant computational savings. Leverages from regression diagnostics are seen to determine efficiencies due to augmenting or deleting single points. Eight small second-order designs are studied in detail with supporting numerical displays. Comparisons are drawn to other approaches from the literature.
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页码：183 / 203
页数：21
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