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Some tests for detection of faulty inspection
Authors:N. L. Johnson  S. Kotz
Affiliation:1. Dept. of Statistics, University of North Carolina, 27514, Chapel Hill, NC
2. Dept. of Management Science and Statistics, University of Maryland, 20742, College Park, MD
Abstract:Some heuristic tests for detection of existence of errors in inspection are proposed. Some of these tests are only effective if the sampling fraction ((sample size)/(lot size)) is rather large, and in all cases their application predicates special experiments to provide the requisite data. Feasibility of these experiments will vary according to specific circumstances.
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