Sequential designs for binary data with the purpose to maximize the probability of response

被引：2
|
作者：
Fornius, Ellinor Fackle [1 ]
机构：
[1] Stockholm Univ, Dept Stat, S-10691 Stockholm, Sweden
来源：
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2008年 / 37卷 / 06期
关键词：
c-optimal design; quadratic logistic model; response surface methodology; sequential design; stochastic approximation;
D O I：
10.1080/03610910802049458
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：
Two kinds of sequential designs are proposed for finding the point that maximizes the probability of response assuming a binary response variable and a quadratic logistic regression model. One is a parametric optimal design approach, and the other one is a nonparametric stochastic approximation approach. The suggested sequential designs are evaluated and compared in a simulation study. In summary, the parametric approach performed very well whereas its competitor failed in some cases.
引用
收藏
页码：1219 / 1238
页数：20
相关论文
共 50 条
12345