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首页> 外文期刊>Communications in Statistics. B, Simulation and Computation >A New Procedure To Monitor The Mean Of A Quality Characteristic
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A New Procedure To Monitor The Mean Of A Quality Characteristic

机译:监视质量特征均值的新程序

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摘要

The Shewhart, Bonferroni-adjustment, and analysis of means (ANOM) control charts are typically applied to monitor the mean of a quality characteristic. The Shewhart and Bonferroni procedure are utilized to recognize special causes in production process, where the control limits are constructed by assuming normal distribution for known parameters (mean and standard deviation), and approximately normal distribution regarding to unknown parameters. The ANOM method is an alternative to the analysis of variance method. It can be used to establish the mean control charts by applying equicorrelated multivariate non central t distribution. In this article, we establish new control charts, in phases I and II monitoring, based on normal and t distributions having as a cause a known (or unknown) parameter (standard deviation). Our proposed methods are at least as effective as the classical Shewhart methods and have some advantages.
机译:Shewhart,Bonferroni调整和均值分析(ANOM)控制图通常用于监视质量特征的均值。利用Shewhart和Bonferroni程序来识别生产过程中的特殊原因,在此过程中,通过假设已知参数的正态分布(均值和标准偏差)和未知参数的近似正态分布来构造控制极限。 ANOM方法是方差分析方法的替代方法。可通过应用等相关的多元非中心t分布来建立均值控制图。在本文中,我们将基于正态分布和t分布以已知(或未知)参数(标准偏差)为基础,在I和II期监控中建立新的控制图。我们提出的方法至少与经典的Shewhart方法一样有效,并且具有一些优点。

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