EXPERIMENTAL-DESIGNS FOR MODEL DISCRIMINATION

被引：44
|
作者：
PUKELSHEIM, F [1 ]
ROSENBERGER, JL [1 ]
机构：
[1] PENN STATE UNIV,DEPT STAT,UNIV PK,PA 16802
来源：
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION | 1993年 / 88卷 / 422期
关键词：
AUGMENTATION DESIGNS; D-OPTIMALITY; DESIGNS WITH GUARANTEED EFFICIENCIES; GENERAL EQUIVALENCE THEOREM; MIXTURE DESIGNS;
D O I：
10.2307/2290346
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：
We present designs that perform well for several objectives simultaneously. Three different approaches are discussed: to augment a given design in an optimal way, to evaluate a mixture of the various criteria, and to optimize one objective subject to achieving a prescribed efficiency level for the others. Our sample designs are for the situation of discriminating between a second- and third-degree polynomial fit, under the D-criterion and geometric mixtures of D-criteria.
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页码：642 / 649
页数：8
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