歪斜分布的控制图

D. Karagöz, C. Hamurkaroğlu
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引用次数: 6

摘要

本文采用经典、加权方差(\(\mathit{WV}\))、加权标准差(\(\mathit{WSD}\))和偏度校正(\(\mathit{SC}\))方法,得到了偏态分布的控制图\(\bar{X}\)和\(R\)的控制限。通过蒙特卡罗仿真对这些方法进行了比较。这些控制图的I型风险概率相对于威布尔、伽马和对数正态分布的不同子组大小进行了比较。仿真结果表明,\(\mathit{SC}\)方法的I类风险小于其他方法。当分布近似对称时,则Shewhart图、\(\mathit{WV}\)图、\(\mathit{WSD}\)图和\(\mathit{SC}\)\(\bar{X}\)图的I型风险具有可比性,而\(\mathit{SC}\)\(R\)图的I型风险明显较小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Control charts for skewed distributions
In this paper the control limits of \(\bar{X}\) and \(R\) control charts for skewed distributions are obtained by considering the classic, the weighted variance (\(\mathit{WV}\)), the weighted standard deviations (\(\mathit{WSD}\)) and the skewness correction (\(\mathit{SC}\)) methods. These methods are compared by using Monte Carlo simulation. Type I risk probabilities of these control charts are compared with respect to different subgroup sizes for skewed distributions which are Weibull, gamma and lognormal. Simulation results show that Type I risk of \(\mathit{SC}\) method is less than that of other methods. When the distribution is approximately symmetric, then the Type I risks of Shewhart, \(\mathit{WV}\) , \(\mathit{WSD}\), and \(\mathit{SC}\) \(\bar{X}\) charts are comparable, while the \(\mathit{SC}\) \(R\) chart has a noticeable smaller Type I risk.
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