1988Journal of Quality TechnologyRequires access

Statistical Effects of Imperfect Inspection Sampling III. Screening (Group Testing)

Norman L. Johnson, Samuel Kotz, Robert N. Rodriguez

Open publisher page 16 citations

Abstract

This paper, the third in a series, describes the effects of imperfect inspection on screening (group testing) acceptance sampling procedures. These procedures are based on first grouping items and testing the group as a whole for presence or absence of nonconforming (NC) items and proceeding to individual testing only if such presence is indicated. If sampling is perfect, the procedure can reduce the expected amount of testing, especially if the proportion of NC items is low. Modifications of the basic procedure—curtailed and hierarchal group testing—aimed at further reduction in the expected amount of testing are also discussed. Some new formulas are presented.

About this research paper

What this paper is about

This paper, the third in a series, describes the effects of imperfect inspection on screening (group testing) acceptance sampling procedures. These procedures are based on first grouping items and testing the group as a whole for presence or absence of nonconforming (NC) items and proceeding to individual testing only if such presence is indicated. If sampling is perfect, the procedure can reduce the expected amount of testing, especially if the proportion of NC items is low. Modifications of the basic procedure—curtailed and hierarchal group testing—aimed at further reduction in the expected amount of testing are also discussed. Some new formulas are presented.

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OpenAlex reports 16 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper, the third in a series, describes the effects of imperfect inspection on screening (group testing) acceptance sampling procedures. These procedures are based on first grouping items and testing the group as a whole for presence or absence of nonconforming (NC) items and proceeding to individual testing only if such presence is indicated. If sampling is perfect, the procedure can reduce the expected amount of testing, especially if the proportion of NC items is low. Modifications of the basic procedure—curtailed and hierarchal group testing—aimed at further reduction in the expected amount of testing are also discussed. Some new formulas are presented.

Key concepts: Group testing, Imperfect, Acceptance sampling, Sampling (signal processing), Statistics, Computer science, Group (periodic table), Reliability engineering

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