OPTIMAL CONFIDENCE-INTERVAL FOR THE LARGEST MEAN IN REPEATED MEASUREMENTS DESIGN
成果类型：
Article
署名作者：
CHEN, HJ; TSAI, PJ
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
发表日期：
1980
页码：
119126
关键词：
摘要：
A single-stage sampling procedure is proposed for obtaining an optimal confidence interval on the largest or smallest mean of k variates in a repeated measurements design. The variates are assumed to obey a multivariate normal distribution with common and known correlation coefficient with the common variance being known or unknown. Percentage points to apply this procedure are also provided.