Statistical control of multidimensional scattering from individual observations

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Abstract

The features of the multi-parameter process control based on individual observations, when sampling during monitoring is impossible due to the complexity of measurements or is not economically feasible, are considered. Monitoring of multidimensional scattering usually by using the generalized variance algorithm is carried out, however, when controlling for individual observations, a number of problems arise. An approach to estimating the covariance matrix to solve this problem is proposed. Keywords multivariate statistical control, generalized variance, sliding range
个体观测多维散射的统计控制
当由于测量的复杂性或在经济上不可行而不可能在监测期间采样时,考虑了基于单个观测的多参数过程控制的特点。在对多维散射进行监测时,通常采用广义方差算法,但在控制单个观测值时,会出现许多问题。提出了一种估计协方差矩阵的方法来解决这一问题。关键词:多元统计控制;广义方差;滑动范围
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