Two-Sided Screening Procedures in the Bivariate Case

Abstract

A procedure is described for screening using a variable X which will guarantee that 100δ% of Y values for screened items will be between L and U (two specification limits). The random variables (X, Y) are assumed to have a joint bivariate normal distribution. Tables for implementing the procedure are also given. The procedure is then extended to the case where all the parameters are unknown.

KEYWORDS:

• Screening variables
• Bivariate normal model
• Selection procedures using correlated variates
• Correlated variates
• Acceptance sampling
• Two-sided specifications