Ingram Olkin

A Model for Interlaboratory Differences

When a single specimen is divided into samples and sent to different laboratories for analysis, it often happens that a few of the laboratories obtain results that consistently are discrepant from the others. Using an additive model, we propose a new approach based on ordering and selection principles to detect and remove the discrepant laboratories. Parameters are then estimated using the remaining laboratories.