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Bias and imprecision in variables acceptance sampling Effects and compensation

 

作者: WEN-HAUR MEI,   KENNETHE CASE,   J. W. SCHMIDT,  

 

期刊: International Journal of Production Research  (Taylor Available online 1975)
卷期: Volume 13, issue 4  

页码: 327-340

 

ISSN:0020-7543

 

年代: 1975

 

DOI:10.1080/00207547508943003

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

Variables acceptance sampling plans are designed under the assumption that measurement on the characteristic of interest may be performed without error. To the contrary, variables measurement tasks are often confounded by human inspection error and/or instrument test error. The net result may be characterized in terms of bias and imprecision, where (1) bias is the difference between the true dimension of a unit of product and the average of a long series of repeated measurements on that unit, and (2) imprecision is the dispersion of repeated measurements on the same unit of product.

 

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