ROBUST STATISTICAL-ANALYSIS OF INTERLABORATORY STUDIES
成果类型：
Article
署名作者：
ROCKE, DM
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
发表日期：
1983
页码：
421431
关键词：
摘要：
A common procedure in testing analytical methods is to send a portion of each of a number of samples to each of several laboratories. The results of such a study are submitted to statistical analysis to determine the 2 important variance components in the problem: replication error and laboratory bias. Outliers are relatively common in these data both among laboratory effects and among the residuals. A method of analysis for interlaboratory studies that is robust to the existence of outliers and long-tailed distributions of random effects is presented. Theoretical consideration as well as a Monte Carlo study are adduced as support for this new technique.