Approximately Optimal Narrow Limit Gauges

Abstract

An explicit approximately optimal solution is derived for a minimum sample size artificial attribute sampling plan having specified producer and consumer risk points. Comparisons are made with solutions that have been obtained empirically. It is demonstrated that the approximate solution should be close enough to being optimal for it to be acceptable in most practical situations, even when the true optimal size is not particularly large.

• Artificial Attributes
• Attribute Sampling Plans
• Narrow Limit Gauging

Additional information

Notes on contributors

I. G. Evans

Dr. Evans is a Senior Lecturer in the Department of Statistics.

P. Thyregod

Dr. Thyregod is a Professor at the Institute of Mathematics, Statistics, and Operational Research.