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Credit in Acceptance Sampling on Attributes
Chris A. J. Klaassen
Vol. 43, No. 2 (May, 2001), pp. 212-222
Published by: Taylor & Francis, Ltd. on behalf of American Statistical Association and American Society for Quality
Stable URL: http://www.jstor.org/stable/1271034
Page Count: 11
You can always find the topics here!Topics: Sample size, Acceptance sampling, Markov chains, Proportions, Consumer protection regulation, Statistics, Credit, Random variables, Maximum value, Mathematical theorems
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Credit is introduced in acceptance sampling on attributes and a credit-based acceptance sampling system is developed that is very easy to apply in practice. The credit of a producer is defined as the total number of items accepted since the last rejection. In my sampling system, the sample size for a lot depends via a simple function on the lot size, the credit, and the chosen guaranteed upper limit on the outgoing quality and will be much smaller than in isolated lot inspection. My credit-based acceptance sampling system also yields a simple continuous sampling plan.
Technometrics © 2001 American Statistical Association