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Applications Residual Control Charts Based on Variable Limits

机译:基于可变极限的应用残差控制图

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The main purpose of this paper is to verify the stability of a productive process in the presence of the effects of autocorrelation and volatility, in order to capture these characteristics by a joint forecast model which produces residuals that are evaluated by a control chart based on variable control limits. The methodology employed will be the joint estimation of the residuals by ARIMA – ARCH models and the conditional standard deviation from residuals to establish the chart control limits. The joint AR (1)-ARCH (1) model shows that an appropriate forecasting model brings a great contribution to the performance of residual control charts in monitoring the stability of industrial variables using just one chart to monitor mean and variance together.
机译:本文的主要目的是在存在自相关和波动性影响的情况下验证生产过程的稳定性,以便通过联合预测模型捕获这些特征,该模型可产生残差,并通过控制图基于变量进行评估控制极限。所采用的方法将是通过ARIMA – ARCH模型对残差进行联合估计,以及从残差建立条件条件标准偏差以建立图表控制极限。联合的AR(1)-ARCH(1)模型表明,适当的预测模型对残差控制图的性能做出了很大的贡献,仅使用一个图即可同时监控均值和方差,从而可以监控工业变量的​​稳定性。

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