Dependence bias in conventional p-charts and its correction with an approximate lot quality distribution
作者:
Z. Seyda Deligonul,
A. Erhan Mergen,
期刊:
Journal of Applied Statistics
(Taylor Available online 1987)
卷期:
Volume 14,
issue 1
页码: 75-81
ISSN:0266-4763
年代: 1987
DOI:10.1080/02664768700000007
出版商: Carfax Publishing Company
数据来源: Taylor
摘要:
In this study, the variance of mean fraction nonconformance under the exact lot quality distribution with first order dependence is examined. The extent of the validity of binomial assumption with respect to the exact distribution in constructing the p-charts for dependent production processes is investigated and it is shown that neglect of dependence for small lot sizes may cause bias in the width of the area between the control limits. An approximate lot quality distribution with great versatility is proposed and is used for correcting the bias due to dependence in p-charts.
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