The effect of nonnormality on variables sampling plans
作者:
Douglas C. Montgomery,
期刊:
Naval Research Logistics Quarterly
(WILEY Available online 1985)
卷期:
Volume 32,
issue 1
页码: 27-33
ISSN:0028-1441
年代: 1985
DOI:10.1002/nav.3800320107
出版商: Wiley Subscription Services, Inc., A Wiley Company
数据来源: WILEY
摘要:
AbstractAcceptance sampling plans based on variables have been in use for many years. Recently, there has been a renewal of interest in these plans, because of the relative efficiencies that they offer with respect to attributes sampling regarding sample size. Furthermore, in situations where acceptable quality levels are very small, and a high level of protection is desired, variables sampling is often much more efficient than attributes sampling. An important disadvantage of variables sampling is that the distribution of the parameter being inspected must be known. Most standard variables sampling plans assume that the distribution of this parameter is normal. This article examines the effect of the normality assumption in variables sampling. Methods to detect departures from normality are reviewed.
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