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BOX-COX TRANSFORMATIONS AND ROBUST CONTROL CHARTS IN SPC

机译:SPC中的Box-Cox转换和强大的控制图

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In this paper we consider some asymmetric models to describe the data process. We assess that, in general, it is possible to find an adequate Box-Cox transformation which enables us to deal with the transformed data as approximately normal. To monitor the original and the transformed data we implement the traditional control charts for normal data as well as robust control charts, based on the total median and on the total range statistics. All these charts are compared in terms of efficiency and robustness.
机译:在本文中,我们考虑一些不对称模型来描述数据过程。我们评估,通常,可以找到足够的Box-Cox转换,使我们能够处理转换的数据,大致正常。要监视原始数据和转换数据,我们将基于总中位数和总范围统计数据来实现正常数据以及强大的控制图表的传统控制图。所有这些图表都在效率和稳健性方面进行了比较。

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