Lynn D. Torbeck

The authors introduce the idea of asymmetrical tolerance intervals as an aid in fully assessing product performance relative to product or process requirements.

A firm grasp of probability and ongoing re-evaluation are key.

The hardest errors to spot are the ones that don't look like errors at all.

A history of the selection of the widely used significance level leaves much to be desired.

A method for determining sample size is finally getting some respect.