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Inspection Errors for Attributes in Quality Control
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This book provides a survey of recent methodology, both theoretical and applied, regarding the statistical analysis and detection of defective ("non-conforming") items in various types of inspection for attributes, when the inspection itself is subject to error. This error can be of two kinds: false positive (classifying non-defective as defective) and false negative (classifying defective as non-defective). The authors pay special attention to group testing or screening procedures. There are sections on the estimation of probabilities of inspection errors, both false positive and false negative, and these are based on observations of items in the production line. Methods of searching for defective items in the presence of inspection errors are also described.
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Table of Contents

Acceptance sampling.- Basic distributions: single sampling.- Basic distributions: multiple sampling.- Double and link sampling for acceptance.- Multitype nonconformities.- Identification of nonconforming items.- (Dorfman) group testing.- Dorfman-Sterrett group testing and its extensions.- Curtailed Dorfman-type procedures.- Graff and Roeloffs' approach and related procedures.- Binary search.- Miscellaneous.- Estimation of error probabilities.- Stratified populations: grading.

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