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Asymptotic Properties of Bayesian Single Sampling Plans

1967; Oxford University Press; Volume: 29; Issue: 1 Linguagem: Inglês

10.1111/j.2517-6161.1967.tb00685.x

1467-9868

A. Hald,

Statistical Methods and Bayesian Inference

Summary The model to be considered is based on a differentiable prior distribution, 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.