Use of Predictive Distributions in Acceptance Sampling

Document Type : Original Article

Author

Faculty of Commerce, Assuit University, Assuit, Egypt

Abstract

Two possible acceptance criteria are considered. The first is based on the predictive distribution of the first failure time of the unsampled items in a batch, and the second based on the proportion of unused items having specified minimum lifetime. In both cases the underlying distribution is assumed to be the one-parameter exponential. The discussion is restricted to a classical approach which happens to coincide in each case with the noninformative Bayesian approach. Numerical examples are provided to illustrate our method.

Keywords