Locally asymptotically optimal designs for testing in logistic regression
成果类型：
Article
署名作者：
Spruill, MC; Tu, R
署名单位：
University System of Georgia; Georgia Institute of Technology; University System of Georgia; Columbus State University
刊物名称：
ANNALS OF STATISTICS
ISSN/ISSBN：
0090-5364
发表日期：
2001
页码：
1050-1057
关键词：
摘要：
Design measures maximizing local power of asymptotically uniformly most powerful (AUMP) tests about the value of logit P outside the observation space are characterized.