The Computation of Multi-Stage Attribute Sampling Plans

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Abstract
For multi-stage fraction-defective sampling by attributes, the current methods for determining sampling plans (1) restrict the range of values of some combination of the input parameters for determining such plans and (2) are generally based on the Poisson approximation to the binomial. This report describes the development of a computational algorithm which allows a continuous range of input parameter values and bases sampling plan computations on the binomial probability distribution. The computerized algorithm has been successfully implemented in an industrial firm and requires only a few seconds or less computer time per sampling plan, depending on the input parameters.

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