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Method of using of the Box-Cox transformation at the application of the xbar and s chart

机译:在xbar和s图表的应用中使用Box-Cox变换的方法

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The application of the most statistical process control techniques is based on the assumption that the distribution of the measurements is normal. However, there are many situations in practice when the process data distribution is not normal. In certain cases, the Box-Cox transformation can be used for converting the process data distribution into a normal distribution. Considering these aspects, the paper presents a method of application for the xbar and s chart that can be used in the case when the measurements distribution is not normal. The proposed method consists of the following stages: the testing of normality of the process data, the application of the Box-Cox transformation and the testing of normality of the transformed data. In the case when the distribution of the transformed data is normal, they are used at the application of the xbar and s control chart.
机译:最统计的过程控制技术的应用是基于这样的假设,即测量的分布是正态的。但是,实践中有很多情况下过程数据分配不正常。在某些情况下,Box-Cox转换可用于将过程数据分布转换为正态分布。考虑到这些方面,本文提出了一种适用于xbar和s图表的方法,该方法可用于度量分布不正常的情况。所提出的方法包括以下几个阶段:过程数据的正态性测试,Box-Cox变换的应用以及变换后的数据的正态性测试。如果转换后的数据的分布是正常的,则在xbar和s控制图的应用中使用它们。

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