Asymptotic Properties of Bayesian Single Sampling Plans

摘要

The model considered is based on a differentiable prior distrikution, a general loss function, an operating characteristic written as an Edgeworth expansion, and sampling costs expressible as a polynomial in the sample size. Asymptotic expressions for the Bayesian single sampling plan are derived and it is shown how previously known results may be found as special cases of the present one. The efficiency of non-optimum plans is discussed. (Author)