Average Run Length and the OC Curve of Sampling Plans

Edward G. Schilling

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Advanced Statistical Process Monitoring Probability and Statistical Research Management and Optimization Techniques

Abstract

This paper amplifies the distinction between Type A and Type B sampling plans for individual lots and processes, respectively. It introduces the f-binomial distribution as a Poisson type finite analog to the hypergeometric distribution for use in constructing appropriate Type A OC curves for defects. The use of average run length in characterizing Type B sampling plans is also presented as a missing measure in the evaluation of such plans.

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1984Acceptance Sampling in Quality Control.1998Sampling Inspection Tables: Single and Double Sampling

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