
The authors recommend a strategy for classifying similar nonstainless-steel surfaces into three groups based upon the analytical recovery that was observed in this study.
Jeffrey D. Hofer is a senior statistician in Global Statistical Sciences at Eli Lilly and Company.

The authors recommend a strategy for classifying similar nonstainless-steel surfaces into three groups based upon the analytical recovery that was observed in this study.

This article discusses a straightforward approach that scientists may use to descide how many nonsuspect restest results are required to provide sufficient evidence to overcome an initial suspect result.

November 2nd 2003