ON SOME A-OPTIMAL 2ND-ORDER DESIGNS OVER CUBIC REGIONS

被引：0
作者：
HUDA, S [1 ]
KHAN, IH [1 ]
机构：
[1] KING SAUD UNIV,DEPT STAT,RIYADH 11451,SAUDI ARABIA
来源：
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 1993年 / 22卷 / 01期
关键词：
A-OPTIMALITY; EFFICIENCY; MODEL VARIATION; RESPONSE SURFACE DESIGNS; 2ND-ORDER MODELS;
D O I：
10.1080/03610919308813083
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-optimal design measures are obtained for some second-order polynomial regression models over cubic experimental regions using a method involving minimization of convex univariate functions. Performance of these design measures under model variation is examined. A-optimal design measures among the central composite type are also derived. The efficiency of these and some integer central composite designs requiring a practicable number of trials is investigated.
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页码：99 / 115
页数：17
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